35 results about "Energy management software" patented technology

Computer based energy management including an adaptor having a server network interface and a control device interface. The server network interface receives commands from the energy management host software, the commands specify a control device and include control instructions and requests for energy usage data. The control device interface transmits the commands to the control device and receives energy usage data from the control device. The server network interface transmits the energy usage data to the energy management software in response to receiving the energy usage data from the control device. In this manner, the adaptor provides a bridge between the server network and the copper wire network to provide control and measurement of energy usage at a control device level in response to commands from a remote computer system.

The invention relates to an intelligent building energy management system. The intelligent building energy management system comprises a system configuration unit for setting an energy consumption management object and manager information, an energy consumption data acquisition unit for acquiring the energy consumption management object, an energy auditing management unit for auditing the energy consumption management object, an equipment energy consumption management unit for monitoring and managing in real time by taking equipment as a unit, a region energy consumption management unit for detecting and managing in real time by taking a region as a unit, an energy forecast management unit for counting and analyzing energy consumption data, an energy consumption alarm and demand control unit for controlling a demand according to a unit load group, a load and contract capacitance information, an energy evaluation unit for optimizing energy scheduling and balance, saving energy and improving reactive power consumption, an energy plan unit for making a rational energy use plan according to the current energy use situation, and an energy management database. By the intelligent building energy management system, the energy real-time balance management and monitoring management of building groups can be realized effectively.

The invention provides an energy management method of a hybrid electric vehicle based on power spectrum self-learning prediction. The energy management method comprises the following steps: step 1, calculating current driving demands of the vehicle, and identifying current calendar time, moment and the like; step 2, receiving the information about a future running route and a future running direction of the vehicle, climatic information and the information about whether the current day is a workday or not; step 3, making similarity judgment on future running conditions and corresponding records in a self-learning power-spectrum database; step 4, executing an energy management strategy based on rules; step 5, performing power-spectrum prediction, and power control and energy management of the hybrid electric vehicle based on a self-learning power spectrum; step 6, establishing a power-spectrum database based on self-learning; and step 7, outputting a control-instruction rotating speed or torque to a power supply module so as to realize power control and optimal energy management. The energy management method overcomes the defects existing in a conventional energy management strategy of a hybrid electric vehicle, realizes the self-adaption optimal energy control for the working conditions of the hybrid electric vehicle, and is liable to be applied to a real vehicle.

Apparatus, systems, methods, and related computer program products for executing demand response (DR) events via smart networked thermostats associated with buildings. The disclosed system includes an energy management system operated with intelligent networked thermostats located in buildings. A thermostat is operable to control the HVAC system. Control during a DR event period may be performed based on an optimal control trajectory for the HVAC system, where the control trajectory is optimal in that it includes a first factor representing total energy consumption during a DR event period, representing occupancy A cost function for the combination of a second factor that is a measure of patient discomfort and a third factor that represents a dispersion of energy expenditure rates over a DR event period is minimized.