129results about How to "Lower electricity bills" patented technology

The invention provides an intelligent control method and system for interactive home appliances on the basis of time-of-use electricity price response. The method is characterized by comprising the steps that the home appliances are automatically classified according to types of home appliance loads; use habits of the home appliances of users are determined according to historical home appliance running status data collected in 30 days; according to time-of-use electricity price policy information of a receiving power grid, basic load demand ranges corresponding to all time periods are predicted and determined for the users; according to obtained user home appliance use habit characteristics and load settings, controllable degree indexes of the home appliances are calculated, and running status models of the home appliances are determined; according to the controllable degree indexes of the home appliances, dynamic control priorities and a control algorithm of the home appliances are determined, and intelligent control over the home appliances is achieved. The method and system have the advantages that interactivity is good, the receiving degree of the users is high, the users can be guided to reasonably avoid the peak hours for electricity utilization, and electricity utilization cost is remarkably reduced.

The invention discloses a distributed global optimum energy management system based on an alternating direction method of multipliers. The distributed global optimum energy management system is a system taking a plurality of energy storage devices as units under a single microgrid, the microgrid comprises different nodes, each node is connected with a corresponding energy storage module, an energy management module, a dynamic load and a renewable energy power generator, different nodes are connected with one another through a topological graph mode, information can be exchanged between adjacent nodes, the energy management parameter of each node is synchronously updated through information exchange, so that the total energy consumption of the whole microgrid is adjusted to global minimum in real time. By tracking a charge status of the energy storage module and simultaneously considering factors such as the energy supply and demand balance condition of the microgrid, the loss of a transmission line, the discontinuity of the renewable energy power generator, the dynamic change of a load and the charging / discharging efficiency of the energy storage system, the power flow on a power line is dynamically minimized, and the purpose of reducing power loss is achieved.

The invention discloses a household load scheduling method comprising the following steps of: classifying all loads according to different power utilization characteristics and user habits; determining a control scheme; establishing a load power utilization model; performing solution by using a discrete optimization algorithm based on molecular kinetic theory; obtaining, analyzing and processing a result. The method analyzes the operating characteristics and the use characteristics of various electric appliances at home, establishes a scheduling mathematic model according to classifications, performs multi-target optimization computation by using the discrete optimization algorithm based on molecular kinetic theory on a multivariable coordinative optimization condition, solves a household load scheduling solution set with the lowest power charge, the least influence on user living habits, and the maximum contribution to power stability. The method is beneficial to evaluation of smart home environment power utilization participation demand response potential and can be further used in a series of problems such as household power utilization smart home system load control and the like.

The invention discloses an electricity utilization arrangement optimization method for intelligent household electrical appliances. The method comprises the following steps: dividing electricity utilization time into time periods, representing the electricity utilization starting time, electricity utilization time length and electricity consumption of each intelligent household electrical appliance with time period numbers, providing an interruptible electricity utilization model and a non-interruptible electricity utilization model according to electricity utilization characteristics of the intelligent household electrical appliances, providing an intelligent household electrical appliance electricity utilization arrangement optimization model by which influence of electricity cost and electricity utilization interruption on the electricity utilization feeling of a user are simultaneously taken into account according to the electricity utilization aim of the user, and solving the optimization model by adopting a genetic algorithm, wherein new punishment electricity prices are adopted for an electricity pricing mechanism in the optimization model. According to the optimization method, the electricity utilization arrangement of the intelligent household electrical appliances can be reasonably optimized, the electricity cost can be effectively reduced, electricity peaks can be reduced or the influence of electricity utilization interruption on the electricity utilization feeling of the user can be reduced.

The invention relates to the technical field of air conditioners, in particular to a control method of an air conditioner. The control method of the air conditioner aims to solve the problems that anexisting air conditioner is high in energy consumption and poor in comfort when an electric heater is used for auxiliary heating. Therefore, the control method of the air conditioner comprises the following steps that the indoor environment temperature and the set temperature are obtained in heating mode; the size of the indoor environment temperature and the first temperature threshold value is compared, and / or the difference between the set temperature and the indoor environment temperature and the preset difference value are compared; according to the comparison result, the wind speed of anair supply fan and / or or the opening degree of a throttling element are selectively adjusted. By means of the control mode, the opening frequency and time of the air conditioner electric heater can be strictly controlled, compared with the prior art, the air conditioner has the advantages that the auxiliary heating of the electric heater can be started less, and the electricity consumption cost of a user is reduced while the comfort of the user is ensured.

The invention discloses a multi-energy flexible control system and method for urban and rural residents based on demand side response. During application, after receiving the control command issued by the grid end through the special electrical network, the primary station of demand side response performs the full-view positioning for load shedding of power grid in the whole district and control path setting according to the electricity information of residents and load priority of users, and quickly and precisely locates the scope of residents joining the load control, control degree of adjustable load and control time of alternative operation of controllable load. On a basis of guaranteeing the normal operation of load closely related to the lives of residents, the whole cross-regional automatic demand side response flexible regulation control is realized through remotely adjusting the parameters of adjustable temperature load, etc. and controlling the operation time of controllable load. Meanwhile, the energy node characteristics and coordination relationship of residential electricity equipment, distributed power source and stored energy are comprehensively considered to dynamically adjust the input and output amount of network source, distributed power source and stored energy, so as to match the demand side response requirements and electricity requirements, and improve the use ratio of distributed power source to the greatest extent from the view of supply side.

The present invention belongs to the field of heating, ventilating and air conditioning technology. The cold accumulating household air conditioner includes compressor, condensator, condensator blower, liquid storage, expanding valve, cold accumulating evaporator and evaporator blower. The compressor has its high pressure gas outlet is connected via copper tube to the inlet of the condensator; the condensator has its outlet connected to the inlet of the liquid storage; the refrigerant outlet pipe of the liquid storage, the expanding valve, the cold accumulating evaporator and the low pressure gas suction inlet of the compressor are connected successively. The present invention has the features of both conventional air conditioner refrigeration and medium cold accumulation. Cold is prepared with electric power at power utilizing valley, accumulated in cold accumulating medium and utilized when needed, and this can save electricity cost and balance city power consumption.

The invention discloses a programming control method applied to a boiler pulverizing system of a coal-fired generating unit, comprising the following steps: sending task instructions to equipments in the boiler pulverizing system of the coal-fired generating unit according to preset programs; executing corresponding tasks by the equipments according to the received task instructions; the equipments comprise a coal pulverizer, a coal feeder, a powder-feeding air source air door, a pulverizing air source air door and an entrance door of a mill exhauster; the task instructions comprise a start instruction, a stop instruction and an adjust instruction. The invention also provides a device used for realizing the programming control method, comprising a program setting unit and an instruction sending unit; wherein, the program setting unit is used for setting the automatic control programs of the boiler pulverizing system of the coal-fired generating unit; the instruction sending unit is used for sending the task instructions to the equipments in the boiler pulverizing system of the coal-fired generating unit according to the set programs so as to control the equipments to execute corresponding tasks according to the received task instructions. The invention can realize the automation control of the boiler pulverizing system, reduce the workload of the employees and increase the economic benefits.

The invention discloses an intelligent microgrid building load power dispatching method improving gravitational search. First, all power using loads in an intelligent microgrid building are classified, an objective function and constraint conditions of building load dispatching are clarified, and a load power dispatching model is built. Then a gravitational search algorithm is subjected to binary discretization and a parasite population and a host population are established. At the same time, the memory and population information sharing capabilities of particles in a particle swarm algorithm are introduced, and parasitic behaviors of organisms are simulated. Through co-evolution of the two populations, the convergence speed and search precision of the algorithm are improved, the diversity of the populations and the global search ability are improved, and the shortcomings of the original gravitational search algorithm such as premature convergence and low optimization accuracy are overcome. The method considers the objectives including resident economy, comfort and stability of a power grid and adopts the improved gravitational search algorithm for multi-objective optimization, so that the least electricity cost, the most comfort and the least impact on the power grid are achieved for residents.

The invention discloses a combined heat supply system for recovering waste heat of a thermal power plant deeply with zero power of a low pressure cylinder. A primary heat supply network water return pipe is connected to the inlet of an absorption heat pump evaporator through a pipeline, a driving heat source is extracted steam of a steam turbine and a low position heat source is primary heat supply network return water; the primary heat supply network return water is primarily heated in a high back pressure condenser of a #1 machine; an absorption waste heat recovery unit heats the primary heat supply network return water secondarily; the primary heat supply network return water is heated thirdly in an absorption heat pump absorber and a absorption heat pump condenser; the primary heat supply network return water is heated fourthly in a peak heater; and the outlet of the peak heater is connected to a primary heat supply network water supply pipeline. By utilizing extracted steam afterlow zero transformation of the lower pressure cylinder gradiently, the utilization ratio of energy sources is improved greatly. Under the circumstance of simultaneous operation of a high back pressureunit and a low pressure cylinder zero force unit, no cold source loss is available and flue gas waste heat of a boiler and waste heat of cooling water of an auxiliary machine can be recovered effectively, so that the waste heat in the power plant is recovered to the maximum extent; the external heating capacity is increased, and the advantage of a low heat supply cost of the high back pressure unit is exerted fully.

The invention relates to the technical field of power supply devices, and discloses an intelligent power supply system which comprises a mains supply input end, a monitoring control unit, a switching power supply module, a standby power source, an inversion module and a switching output module. The mains supply input end is coupled with the monitoring control unit and is externally connected with the mains power grid, the monitoring control unit is coupled with the switching power supply module, the inversion module and the switching output module respectively, and the monitoring control unit is used for turning on the switching power supply module to charge the standby power source or turning on the inversion module to enable the standby power source to supply power according to operation states of the system. By means of the intelligent power supply system, power can be supplied in the mode of power grid load shifting, unbalance of power grid loads is effectively avoided, potential safety hazards of the power grid are effectively reduced, the effect of energy conservation and emission reduction is achieved, and electricity cost is effectively saved.

The invention relates to an electric heating system and a control method thereof. The electric heating system comprises an electric heat storage boiler unit, a water circulation unit, a heat pump main body unit, a climate compensator and a control unit, wherein the electric heat storage boiler unit is connected with the water circulation unit connected with a heat supply zone through an inner circulation pipe of a first heat exchange unit; the heat pump main body unit is connected with the water circulation unit connected with the heat supply zone through an inner circulation pipe of a second heat exchange unit; and the climate compensator and the control unit are separately connected with the electric heat storage boiler unit, the heat pump main body unit and the water circulation unit. According to the technical scheme provided by the invention, when electricity usage is at a low trough, circulating water can be independently or simultaneously heated by the heat pump and the electric heat storage boiler, so that the problem that the temperature rise of the heat pump is limited is solved, the heat utilizing efficiency is increased, and the energy source is saved; and at the same time, electric energy is converted to heat energy and stored in a heat storing body by the electric heat storage boiler, and when electricity usage is at a high peak, the heat can be released by the electric heat storage boiler through the heat storing body to heat the circulating water and realize indoor heating, so that the electricity usage pressure of a power grid is relieved, and electricity fees are saved for a user.

The invention relates to a demand response-based intelligent control method for a home energy management system. The method comprises the following steps that initial parameters are input, and a population is randomly generated by an initialization operator; a target function for spending the least electricity fee is built, constraint conditions are set, and a fitness model is constructed; the fitness model is solved to obtain the equipment states in all the scheduling time periods, and storage battery charging and discharging are conducted according to the equipment states in the scheduling time periods; a selection operation and a crossover operation are conducted in sequence, whether the population meets the constraint conditions or not is judged, and if not, variation is conducted after population repairing; if yes, variation is directly conducted; and whether the population obtained after variation meets the constraint conditions or not is judged, and if not, population repairing is conducted. Compared with the prior art, the method has the advantages of adopting peak-load shifting to transfer part of the distributed energy generating capacity, being more flexible in application, adopting the repairing method to meet the constraint conditions, being more suitable for some complex non-linear integer model problems and the like.

A solar steady persistence lighting system comprises a solar cell system (1), an IC (integrated circuit) controller (2), a photosensitive control element (3) and electroluminescent devices (4). One or more electroluminescent devices (4) are arranged around or inside every steady persistence light emitter (5) and connected and mounted with the IC controller (2) through a line, and the IC controller (2) is connected and mounted with the solar cell system (1) and the photosensitive control element (3) respectively through lines. An excitation method of the solar steady persistence lighting system is characterized in that the IC controller receives a signal of a photosensitive element when the photosensitive element which is under the control of the IC controller senses that the ambient light illumination is smaller than a set illuminance value, the IC controller controls the electroluminescent device to start working, the electroluminescent device stops emitting light for set stop time after emitting light for set light-emitting time, and the above process is recycled. The IC controller controls the electroluminescent device to completely stop working when the photosensitive element senses that the ambient light illumination is larger than the set illuminance value. According to the solar steady persistence lighting system and the excitation method thereof, the uncontrollable luminance of the steady persistence light emitters can be artificially controlled, and the luminance of a product can be designed as needed.

The invention discloses an intelligent power supply system of peak moving and valley filling. The intelligent power supply system is coupled with a maintenance and monitoring center as well as communication equipment. The intelligent power supply system comprises a high-frequency switch and power supply device, a direct-current power supply device which comprises a lithium iron phosphate storage battery, and a monitoring control device, wherein the high-frequency switch and power supply device is coupled with the direct-current power supply device, the monitoring control device and the communication equipment; and the monitoring control device is coupled with the high-frequency switch and power supply device, the direct-current power supply device and the maintenance and monitoring center. By the adoption of the intelligent power supply system, the lithium iron phosphate storage battery is adopted as a medium to realize the power supply in a manner of peak moving and valley filling of a power grid load, thus the problems of an unbalanced power grid load and an overlarge power grid load are effectively solved, effects of energy conservation and emission reduction are reached, and the cost on power use is reduced.

The invention discloses supersonic electromagnetic-induction heating equipment which comprises a supersonic power supply control system, a supersonic electromagnetic-induction heating device, a first recycle pump, a heat storage device, a second recycle pump and heat radiating fins. The heat storage device is internally provided with a first temperature sensor which is electrically connected with a first temperature controller, and the first temperature controller is respectively connected with the supersonic power supply control system, the supersonic electromagnetic-induction heating device and the first recycle pump. The supersonic electromagnetic-induction heating equipment adopts a supersonic electromagnetic-induction heating mode, has high electrothermal conversion efficiency and low operation cost, reaches the national requirements for saving energy and reducing emission, solves the problem of environmental pollution and has wide application prospects, thereby being the current latest and optimal heating equipment.

The present invention provides a method and apparatus for improving air quality within an enclosed space. The apparatus provides molecular sieve that preferably contains zeolite to treat the air to remove toxins such as suspended particles, carbon dioxide, carbon monoxide, nitrogen dioxide, bacteria, formaldehyde, total volatile organic compounds, radon and organic odour causing compounds. An apparatus having plurality fo molecular sieves able to operate sequentially is disclosed and can be incorporated into air-conditioning for fitment in new or existing installations or stand independently.

The invention discloses a smart charger. The smart charger comprises an input unit, a display unit, a relay, a switch converter circuit, a sampling unit and a central processing unit, wherein the central processing unit sends a PWM (Pulse Width Modulation) signal to control the state of the switch converter circuit; the input unit inputs charging delay time to the central processing unit; the central processing unit controls the on-off state of the relay according to the input or the default charging delay time; the display unit reads the delay time and the charging state of the central processing unit, and displays the data; and the sampling unit collects the current and voltage data of the output circuit, and transmits the data to the central processing unit. The smart charger can set the charging start time according to the requirement of a user to ensure the charging process in a reasonable period, and can automatically cut off power of the charger when the battery is fully charged, thereby effectively prolonging the service life of battery, lowering the electric expenses and saving energy.

The invention relates to a control method and a control device of a photovoltaic- diesel oil compound power supply system, computer equipment, and a storage medium. The control method comprises steps that a changing value of solar radiation illuminance, a real-time maximum output power of a photovoltaic power generation system, and micro-power grid load are acquired, and according to the changing value of solar radiation illuminance, the real-time maximum output power of the photovoltaic power generation system, and the micro-power grid load, the photovoltaic power generation system is operated in a frequency adjusting mode, an active power adjusting mode, or a maximum power point tracking mode; in the active power adjusting mode, backup active power is reserved for the photovoltaic system according to the output power of the photovoltaic system and the stored maximum power point; according to the operation mode of the photovoltaic power generation system, a diesel generator is operated in a generator mode or a synchronous capacitor mode. By adopting the control method, the output power of the photovoltaic power generation system is adjusted freely according to the requirements of the micro-power grid under the condition of the maximum power, and therefore a certain power residual is kept to participate in a micro-power grid auxiliary adjusting function, and then the frequency stability and the voltage stability of the micro-power grid are improved, and costs are reduced.

The invention provides a household energy scheduling method, an energy management module and a household energy system. The household energy scheduling method comprises: predicting and estimating photovoltaic power generation power and load power in a current scheduling period; according to the photovoltaic estimated generated power, the estimated load power, the capacity and the charging and discharging power of the energy storage battery, the capacity and the charging and discharging power of the electric vehicle battery and the cycle life of the energy storage battery, solving the minimum value of a target cost function in the current scheduling period by utilizing mixed integer linear programming; and obtaining corresponding system parameters and electricity expenses when the target cost function is minimum, and obtaining an energy scheduling scheme. According to the invention, the minimum power consumption cost of a user is used as an optimal scheduling target; and meanwhile, theconsumption cost of the energy storage battery is introduced into a scheduling target, and a mixed integer linear programming method is utilized to carry out cooperative scheduling on various electricequipment, electric vehicles and the energy storage battery, so that the consumption of the energy storage battery is minimized while the electricity cost is minimum, the service life of the energy storage battery is prolonged, and the total income of the whole system is improved.

The invention discloses an intelligent power utilization analysis method and system based on cloud computing, and the method comprises the steps: obtaining the historical power utilization data of a user, carrying out the energy utilization analysis based on the historical power utilization data, and obtaining the power utilization rule information of the user; and based on the power utilization rule information, respectively calculating the electric charge of executing and not executing the peak-valley time-sharing power utilization strategy, and based on the electric charge calculation result of executing and not executing the peak-valley time-sharing power utilization strategy, determining the power utilization strategy. According to the invention, the electric charge of executing or not executing the peak-valley time-sharing power utilization strategy can be calculated in combination with the historical power utilization data of the user, and the corresponding power supply strategyis provided for the user according to the calculation result, so that the purposes of reducing the power utilization cost of the user and improving the electric energy utilization rate are achieved.

The invention provides an electric energy distribution system and a distribution method based on an intelligent electric room. The electric energy distribution system comprises a distributed photovoltaic power station, a factory photovoltaic power station, a step-up transformer, an intelligent electric room and a grid-connected cabinet. A switch electric cabinet, a metering electric cabinet and asummary electric cabinet are arranged in that intelligent electric room; The distributed photovoltaic power station comprises a plurality of residential roof photovoltaic power stations; The distributed photovoltaic power station, the booster transformer, the switch cabinet and the metering cabinet are electrically connected in turn, and the factory photovoltaic power station, the metering cabinetand the grid-connected cabinet are electrically connected with the aggregation cabinet; The summary cabinet is used for summarizing and monitoring the power generation quantity, and distributing andtransferring the power quantity to the grid-connected cabinet; The grid-connected cabinet is used for controlling the transmission of electric energy to the electric equipment or the utility grid of the factory according to the electric situation of the electric equipment of the factory. The distribution system and the distribution method can make the electricity of the photovoltaic power stationon the roof of the residents around the factory be more fully utilized, and can reduce the electricity cost of the factory at the same time.

The invention provides a household power consumer energy management method. The household power consumer energy management method comprises the following steps: firstly dividing common household electric appliances into three types according to operation characteristics of different electric appliances, namely a non-thermal control non-interruptible electric appliance, a non-thermal control interruptible electric appliance and a thermal control electric appliance; defining a target optimization function J of a power consumer energy management optimization module weighted by a user dissatisfaction penalty function J2 and a target optimization function J1 for the daily electric charge of a household power consumer; as for a piecewise function describing the dissatisfaction of the thermal control electric appliance, introducing a nonnegative number, 0 and 1 to linearly express the piecewise function; determining different restraints to be met by the target optimization function J, acquiring data needed for a power consumer energy management optimization model; using a CPLEX solver to solve a target function of the power consumer energy management optimization model; acquiring optimization results like an estimated electric charge for the day, estimated operation time frames and starting and stopping moments of the electric appliances, and feeding back the results to a consumer through a human-computer interaction interface.

The invention discloses an integrated device of a photovoltaic air conditioner and a water dispenser. The integrated device comprises a cabinet body, wherein the cabinet body is provided with an air conditioning functional layer, a water dispenser functional layer, a tea set disinfection functional layer and a water storage compartment, and the air conditioning functional layer, the water dispenser functional layer, the tea set disinfection functional layer and the water storage compartment are sequentially arranged from top to bottom. An air conditioning compressor compartment is further disposed on the same layer as the water storage compartment. The air conditioning functional layer, the water dispenser functional layer, the tea set disinfection functional layer and the water storage compartment are separately separated by heat insulation layer partition plates. Load-bearing running wheels are further arranged at the bottom of the cabinet body. Functional complementation and structural integration of the air conditioner and the water dispenser are realized, and the habit of using a conventional air conditioner is also changed.

Disclosed is an energy consumption optimization method for a zinc electrolysis process, which establishes an energy consumption optimization controlling model for the zinc electrolysis process according to energy consumption status under different electrolysis conditions in process of zinc electrolysis and time-sharing price counting policy of electric power department, making the lowest energy consumption and electric charge in process of zinc electrolysis process as the aims, making current density, sulphuric acid concentration, zinc concentration and temperature technological parameters as the optimization variables, and making output and production process as the constrained conditions; and utilizes a cooperative particle swarm algorithm with acceleration regulation to solve the energy consumption optimization controlling model for the zinc electrolysis process, therein two optimization aims are handled by a double fitness strategy to obtain an energy consumption optimization scheme of zinc electrolysis process. The energy consumption optimization method substitutes for artificial controlling method of parameter setting by experience, effectively optimizes current density, acid zinc concentration and temperature in process of production, decreases the energy consumption and reduces the cost.

The invention relates to a demand side optical storage integrated microgrid system control strategy. Given: PPG(t) is photovoltaic power generation output power, PESS(t) is energy storage system output power, Pload(t) is original load power, and Pgrid(t) is optical storage microgrid system and large power grid energy exchange. When PESS(t) is larger than 0, an energy storage system carries out discharging; when PESS(t) is smaller than 0, the energy storage system is charged; when Pgrid(t) is larger than 0, Pgrid(t) is equal to P'load(t), and P'load(t) is load power needed after a load in a microgrid is charged and called synthetic load power; when Pgrid(t) is smaller than 0, Pgrid(t) is equal to Pout(t), and Pout(t) is microgrid system output power, namely, electric selling to large power grid power. Energy losses of all parts of a system are ignored, it can be obtained that Pload(t)=PPG(t)+PESS(t)+Pgrid(t) through the law of conservation of energy and microgrid operation restraint, when Pgrid(t) is smaller than 0, the microgrid sells electricity to a large power grid, the microgrid system output power is Pout(t)=PPG(t)+PESS(t)-Pload(t), aiming at time-of-use electricity price and electrical load characteristics, and according to the energy storage contributing strategy basic principle, charging is carried out at valley value electricity price, discharging is carried out at peak value electricity price, and the electricity expenses are reduced.

The invention provides a building heating ventilation air conditioning load optimization control method based on a partial linear model, and belongs to the technical field of power demand response. The method comprises the following steps: firstly, respectively establishing a thermal inertia model and a heating ventilation air conditioning system model of a building, converting the two models to obtain a heating ventilation air conditioning load prediction model comprising a linear part and a data driving part, and carrying out fitting by utilizing historical data to obtain parameters of the load prediction model; and then according to the load prediction model, establishing an optimization model of the indoor temperature of the building, solving the optimization model, obtaining the optimal indoor temperature of the building at the next time point through calculation, and realizing optimization control over the heating ventilation air conditioning load of the building. According to the method, a physical model and a data driving model are combined, so that the heating ventilation air conditioning prediction model has interpretability and high prediction precision at the same time, the indoor temperature can be optimized according to the model under the real-time electricity price, and the energy consumption cost of the building is reduced on the premise that the indoor temperature is kept within a certain comfortable range.

The invention relates to a non-intrusive electric appliance load identification method based on a hidden Markov chain, and discloses a non-intrusive user load identification algorithm based on a hidden Markov model. The method comprises the steps of constructing the number of hidden states of the electric appliance load model, and counting the gear states of all electric appliances and the numberof the gear states of each electric appliance; constructing a model observation sequence value range, and calculating the maximum sum power of the electric appliance; determining a transition state matrix, and counting the transition probability between every two hidden states to form a transition matrix; counting the power consumption of the hidden state to obtain an emission matrix from the hidden state to the observation sequence; counting the occurrence probability of each hidden state in the power utilization process of the electric appliance to form an initial probability vector of eachhidden state; and obtaining the reading of the current electric meter as the current observation sequence, processing to obtain the optimal hidden state, and obtaining the current use condition of each electric appliance. The method is simple and effective, the electricity consumption condition of the user is obtained, too many sensors do not need to be deployed, high-frequency sampling is not needed either, early warning is conducted when the load is too high, and the electricity consumption risk is reduced.

The invention relates to an electric public transportation system planning method. The method comprises the following steps: obtaining public transportation network information and cost information; establishing an electric bus network operation scheduling and charging facility layout optimization model taking the minimum total cost of the electric bus system as a target by utilizing the bus network information and the cost information; and solving the electric bus network operation scheduling and charging facility layout optimization model by using an adaptive genetic algorithm of the continuous change crossover probability and the continuous change mutation probability to obtain an electric bus system related to electric bus network operation scheduling and electric bus charging facilitylayout. Compared with the prior art, an electric bus operation scheduling plan and a charging facility layout scheme are optimized at the same time, the method can be suitable for time-of-use electricity price, the utilization rate of electric buses is increased, electric bus charging scheduling is more flexible, off-peak charging can be achieved, the electricity consumption cost is reduced, andthe utilization rate of the electric buses and charging facilities is increased.