42 results about "Demand profile" patented technology

A computer-implemented decision-support tool serves as a solver to generate a projected supply planning (PSP) or estimated supply planning (ESP) match between existing assets and demands across multiple manufacturing facilities within the boundaries established by the manufacturing specifications and process flows and business policies to determine what supply can be provided over what time-frame by manufacturing and establishes a set of actions or guidelines for manufacturing to incorporate into their manufacturing execution system to ensure that the delivery commitments are met in a timely fashion. The PSP or ESP tool resides within a data provider tool that pulls the required production and distribution information. PSP matching is driven directly by user-supplied guidelines on how to flow or flush assets "forward" to some inventory or holding point. After the supply plan is created, the analyst compares this plan against an expected demand profile.

A method to calculate energy demand in an energy generation, transmission and distribution network including one or more power plants based on different energy source types including renewable energy, a communications system and one or more local consumption metering units. A customer demand profile for one or more customers is provided. A customer-specified proportion of power demand to be supplied from a given energy source type is registered. A total predicted energy demand dependent is calculated in part on an accumulated demand for the given energy source type.

A method and system for updating a demand profile used in a computing utility includes receiving a demand profile associated with an application that identifies a required resource demand during time slots in a demand cycle, receiving trending specification information used during admission to the computing utility and updating the demand profile when indicated in light of trending specification information and resource demand.

A computer-implemented method comprises obtaining a cache hit ratio for each of a plurality of virtual machines, and identifying, from among the plurality of virtual machines, a first virtual machine having a cache hit ratio that is less than a threshold ratio. The identified first virtual machine is then migrated from the first physical server having a first cache size to a second physical server having a second cache size that is greater than the first cache size. Optionally, a virtual machine having a cache hit ratio that is less than a threshold ratio is identified on a class-specific basis, such as for L1 cache, L2 cache and L3 cache.

A method and system for governing resources in a computing utility receives a demand profile associated with an application that identifies the resources required from a pool of resources during one or more demand cycles, admits an application to the computing utility facility if resources required for the application can be provided from the pool of resources in accordance with the demand profile and associated one or more demand cycles and assigns available resources from the pool of resources in response to a request from the application admitted to the computing utility facility.

Disclosed is a system and method for improving grid efficiency, reliability, security and capacity, utilizing energy storage over a plurality of on-site energy storing appliances, and also utilizing on-site demand reduction devices lacking storage, all controlled via configuration settings with a local means to act independently, yet in statistical coordination, to provide a desired effect. The appliance and controller are located on the downstream side of the end-users power meter, and facilitates the utilization of the stored energy and manages the optimal timing for producing and delivering the stored energy to the end-user. This model demonstrates a utility driven, disaggregated, distributed energy system, where the distributed energy resource is designed to behave as an offset to the predictable daily electrical demand profile.

Method and apparatus suitable for demand forecasting. The invention can enable sales forecasting “by item, by size, by location”. The invention features combining a demand profile and a demand model into a single encompassing model which is capable of projecting demand for an identified set of merchandise.

A method of optimizing electricity use from an electric grid is disclosed. The method includes formulating a target load using a cost function for the electric grid, broadcasting a cost signal to the electric device based on the target load, receiving a charging profile from the electric device based on the cost signal, aggregating a demand profile for the electricity use based on the charging profile, determining an updated cost signal based on the demand profile, and broadcasting the updated cost signal to another electric device. The electric device is chargeable electric device, such as a plug-in electric vehicle (PEV). The electric device determines the charging profile only once based on the cost signal, and is charged at maximum power.

A method for scaling inventory allocation includes mapping attributes to impressions through index tables; constructing a flow network of nodes each containing impressions of corresponding attributes projected to be available during a time period, contracts each including specific requests for impressions that satisfy a demand profile, and arcs to connect the nodes to the contracts that match the demand profiles of the contracts; sampling the arcs that flow into each contract at a sampling rate chosen to reduce the number of arcs to a fraction of the original arcs when the plurality of impressions that satisfy the contract is above a threshold number, the nodes corresponding to the sampled arcs being sampled nodes; and optimally allocating impressions from the sampled nodes to the contracts during the time period by solving the flow network with a minimum-cost network flow algorithm that maximizes delivery of the impressions from the sampled nodes to the contracts in a way that satisfies the corresponding demand profiles.

A system for advertisement inventory allocation is disclosed, including a database to store advertisement impressions. An indexer builds a plurality of index tables each associated with an attribute that is mapped to a plurality of the impressions. An impression matcher constructs a flow network including a plurality of nodes each containing impressions of at least one corresponding attribute projected to be available during a time period, a plurality of contracts each including specific requests for impressions that satisfy a demand profile during the time period, and a plurality of arcs to connect the plurality of nodes to the plurality of contracts that match the demand profile of each contract. An optimizer optimally allocates impressions from the nodes to the contracts during the time period by solving the flow network with a minimum-cost network flow algorithm that maximizes delivery of the impressions to the contracts in a way that satisfies the corresponding demand profiles and that specifies a number of impressions to flow over each of the plurality of arcs.

A system and method are provided for determining aggregate available capacity for an infrastructure group with existing workloads in computer environment. The method comprises determining one or more workload placements of one or more workload demand entities on one or more capacity entities in the infrastructure group; computing an available capacity and a stranded capacity for each resource for each capacity entity in the infrastructure group, according to the workload placements; and using the available capacity and the stranded capacity for each resource for each capacity entity to determine an aggregate available capacity and a stranded capacity by resource for the infrastructure group.

A system and method for dynamically marketing cattle is provided comprising a buyer interface, a producer interface, a network, and an cattle information server. The cattle information server receives information from the buyer interface defining a plurality of demand profiles at least one which contains information specifying a first pre-conditioning program. The cattle information server also receives information from the producer interface defining a supply profile that specifies a second pre-conditioning program and stores the demand profiles and supply profile in a database. The cattle information server searches the database to determine if one or more of the demand profiles match the supply profile based at least in part on a comparison of the first and second pre-conditioning programs and identifies at least one demand profile in response to a match between the supply profile and the demand profile.

A computer-implemented method for controlling a distributed energy storage system (ESS) communicating with one or more microgrids is presented. The method includes assigning, via the processor, a weight to a first objective function pertaining to minimizing demand charge (DC) cost, assigning, via the processor, a weight to a second function pertaining to maximizing photovoltaic (PV) utilization, receiving historical demand profiles including demand data and historical PV profiles including PV data, and determining ESS power and capacity. The method further includes employing a multi-objective DC cost and PV utilization optimization module to obtain a plurality of optimal solutions by concurrently processing the assigned weights of the first and second objective functions, the historical demand and PV profiles, and the ESS power and capacity.

Embodiments of the disclosure are directed towards electricity fraud detection systems that involve a behavioral detection ecosystem to improve the detection rate of electricity fraud while reducing the rate of false-positives. More specifically, machine learning algorithms are eschewed in favor of two separate models that are applied sequentially. The first model is directed to improving the detection rate of electricity fraud through the use of detectors to identify customers engaging in suspicious behavior based on the demand profiles of those customers. The second model is directed to reducing the rate of false-positives by identifying potential legitimate explanations for any suspicious behavior. Subtracting away the suspicious behavior with legitimate explanations leaves only the identified, unexplained suspicious behavior that is highly likely to be associated with fraudulent activity.

A computer-implemented method comprises obtaining a cache hit ratio for each of a plurality of virtual machines, and identifying, from among the plurality of virtual machines, a first virtual machine having a cache hit ratio that is less than a threshold ratio. The identified first virtual machine is then migrated from the first physical server having a first cache size to a second physical server having a second cache size that is greater than the first cache size. Optionally, a virtual machine having a cache hit ratio that is less than a threshold ratio is identified on a class-specific basis, such as for L1 cache, L2 cache and L3 cache.

A method reduces substation demand fluctuations using decoupled price scheme to mange load flexibility to follow renewable variations in a power distribution system. The price scheme includes base energy price component, up / down reserve usage price component, and up / down reserve usage variation price component. The operator adjusts the corresponding price components to achieve desired aggregated demand profile at a substation. Meanwhile, the operator determines the optimal amount of reduced loads, removed loads and transferred loads to minimize the total cost of substation power purchase, available but unused renewable penalty, and demand responses.

A method and system for governing resources in a computing utility receives a demand profile associated with an application that identifies the resources required from a pool of resources during one or more demand cycles, admits an application to the computing utility facility if resources required for the application can be provided from the pool of resources in accordance with the demand profile and associated one or more demand cycles and assigns available resources from the pool of resources in response to a request from the application admitted to the computing utility facility.

A method and system for governing access to resources in a computing utility includes receiving a demand profile associated with an application that specifies a pattern of resources from a pool of resources to be delivered with a class of service, determining if the pool of resources has resources to be delivered to the application at the specified class of service, reducing the specified class of service to a lower class of service acceptable to the application if the determination indicates the resource pool is unable to deliver the resources at the specified class of service and admitting an application to the computing utility facility if resources delivered at the reduced class of service are available from the pool of resources and acceptable to the application.

A method of optimizing electricity use from an electric grid is disclosed. The method includes formulating a target load using a cost function for the electric grid, broadcasting a cost signal to the electric device based on the target load, receiving a charging profile from the electric device based on the cost signal, aggregating a demand profile for the electricity use based on the charging profile, determining an updated cost signal based on the demand profile, and broadcasting the updated cost signal to another electric device. The electric device is chargeable electric device, such as a plug-in electric vehicle (PEV). The electric device determines the charging profile only once based on the cost signal, and is charged at maximum power.

Methods and apparatus for allocating inventory are disclosed. The system may maintain a plurality of inventory pools of impressions that are projected to be available during a time period, each of the plurality of inventory pools having a corresponding set of attributes. The system may receive a plurality of requests from advertisers, each of the plurality of requests requesting a number of impressions during the time period that satisfy a corresponding demand profile, the demand profile having a corresponding set of attributes. The system may allocate impressions in the plurality of inventory pools to the plurality of requests by balancing an interest of a seller of the impressions to maximize value of remaining inventory in the plurality of inventory pools against an interest of the advertisers in allocating a representative sample of impressions in each of the plurality of inventory pools that satisfy the demand profile for each of the plurality of requests.

A process for computing a score for a search engine of a web server accessing to at least one database (108) of real estate properties offered for sale or for rent. The process involves the steps of generating a demand profile dedicated to a possible user, with the demand profile comprising a first explicit demand profile and a second implicit demand profile. The first explicit demand profile comprising data input by the user through a user interface, with the data including classified data corresponding to n classes to be assigned to a set of criteria describing a particular property. The second implicit demand profile comprising data including rated data corresponding to ratings or soft values to be assigned to each of said criteria, said soft values being iteratively updated from data generated from the user's navigation. In addition to the demand profile, the process further generates a supply profile comprising a first explicit supply profile comprising data input by the property owner and including classified data corresponding to the said classes and a second implicit supply profile comprising data including rated data corresponding to soft values to be assigned to each of said criteria. A score is generated between a particular implicit demand profile and a particular implicit supply profile indicative of the probability of a possible transaction between a possible purchaser and a property owner.

A resource staffing manager is provided that manages resource staffing of project teams. A resource demand profile is provided including requirements for roles to be staffed for a project team and an allocated budget for staffing the project team. Based on the resource demand profile, the manager displays a project level graphical user interface that includes a pie chart and a donut chart. The pie chart includes a slice for each of the roles and the donut chart indicates the amount of the allocated budget remaining. Upon selection of a resource to be staffed to one of the roles, the manager updates the slice of the pie chart corresponding to the role to graphically indicate that the selected resource has been selected to be staffed to that role. Based on the selection of the resource, the manager updates the donut chart to indicate the amount of the allocated budget remaining.

A method is described that involves locking a capacity demand profile of a resource for the use of a transaction. The method also involves obtaining a portion of the locked capacity demand profile. The portion describes the capacity demand profile over a time interval in which a locked out transaction desired to implement a change to the capacity demand profile prior to the locking. The method involves implementing the change to the portion to form a changed portion. The method also involves, after the implementing, implementing a second change to the changed portion. The second change is desired by the transaction.

A system for managing production availability. A storage device stores a production entry corresponding to a client for production using a particular technology. The production entry comprises a demand profile and a production availability profile. The demand profile specifies the amount of capacity allocated support demand (CASD) for the client during a preset period, comprising a non-booked CASD and a booked CASD. The production availability profile specifies available-to-promise (ATP) production corresponding to the non-booked CASD, comprising production values specifying quantities of ATP production allocated to the client during different divisions of the preset period. The processor, connected to the storage device, updates an existing production availability profile according to an existing demand profile, wherein the production values of the updated production availability profile are determined according to the existing CASD profile and ratios of the production values of the existing production availability profile.

As data processing requirements of individual client systems A to K change over time, they are allocated service from physical datacentres X, Y, Z according to the existing capabilities of the data centres requirements of the client systems, thus transferring client systems between cells controlled by individual data centres. This avoids the complex process of adapting the individual physical datacentres' capabilities to the changing requirements of the client systems to which they were originally allocated: thus the capabilities, and not the mappings, are maintained and the mappings, not the capabilities, are dynamic, so as to optimise the allocation of client systems to cells. It also minimises the number of clients having to work to more than one datacentre, which leads to delays in processing as the datacentres need to communicate with each other.Configuration of the datacentres X, Y, Z themselves is required to set up the system, but subsequently only if a re-optimization of the existing mappings cannot satisfy the changed demand profiles, for example because the overall balance of services available from the datacentres no longer matches the services required.

A system and method for dynamically marketing cattle is provided comprising a buyer interface, a producer interface, a network, and a cattle information server. The cattle information server receives information from the buyer interface defining a plurality of demand profiles at least one which contains information specifying a first pre-conditioning program. The cattle information server also receives information from the producer interface defining a supply profile that specifies a second pre-conditioning program and stores the demand profiles and supply profile in a database. The cattle information server searches the database to determine if one or more of the demand profiles match the supply profile based at least in part on a comparison of the first and second pre-conditioning programs and identifies at least one demand profile in response to a match between the supply profile and the demand profile.

Disclosed is a system and method for improving grid efficiency, reliability, security and capacity, utilizing energy storage over a plurality of on-site energy storing appliances, and also utilizing on-site demand reduction devices lacking storage, all controlled via configuration settings with a local means to act independently, yet in statistical coordination, to provide a desired effect. The appliance and controller are located on the downstream side of the end-users power meter, and facilitates the utilization of the stored energy and manages the optimal timing for producing and delivering the stored energy to the end-user. This model demonstrates a utility driven, disaggregated, distributed energy system, where the distributed energy resource is designed to behave as an offset to the predictable daily electrical demand profile.

Methods and apparatus for Enhanced Static IR Drop Analysis are provided. Enhanced Static IR Drop Analysis can be used to determine a quality and robustness of a power distribution network in a circuit. In examples, Enhanced Static IR Drop Analysis includes recording time points at which global current demand profile peaks, sampling instantaneous current from individual tile-based current demand profiles at each time point, and running Static IR Analysis for the tiles at the time points to determine tile current use by the tiles during the time points. Enhanced Static IR Drop Analysis can be used for quick assessment of peak current distribution and determining how the peak current distribution stresses the power distribution network. Enhanced Static IR Drop Analysis is useful during earlier stages of circuit design, when quickly producing circuit performance data is imperative and conventional techniques require significant resources.