860 results about "Demand side" patented technology

An automated energy rate reduction and demand side sequencing management and analysis system bridges the gap between supply and demand side energy management. The management system enables energy consumer's to determine, automate and react in “real-time” to all of the cost sensitive energy billing components in a unregulated or regulated utility energy supplier rate as well as determine a “real-time” demand side operational sequence in order to drive new costs in their facility.

A household appliance system and method include an appliance control system having a common appliance interface provided on an appliance and a demand side management module connected to the common appliance interface. The module corresponds to one select utility of a plurality of utilities and is adapted to communicate with the one select utility of the plurality of utilities. The appliance control system operates the appliance based on communications with the one select utility through the module.

A method, a system, and an apparatus for creating a Content-on-Demand (CoD) service are disclosed herein. The method includes receiving a Session Initiation Protocol (SIP) service request sent by a User Equipment (UE); converting the SIP service request into a Real-Time Streaming Protocol (RTSP) service request, and sending the RTSP service request to a server; receiving an RTSP service response sent by the server; and converting the RTSP service response into a SIP service response, and sending the SIP service response to the UE to create the CoD service between the UE and the server.

Systems and methods in accordance with various embodiments of the present invention provide for a system and method for simultaneous price optimization and asset allocation to maximize manufacturing profits. In one embodiment, a set of price points for the item and a set of expected demand values for each price point are determined. A supply-side constraint which models inventory, replenishment, and capacities associated with replenishment and a joining constraint, which requires that the set of expected demand values be equal to a planned supply of the item, are determined. A demand-side constraint is determined. Further, an objective function to maximize profits is determined, based on the set of price points, the set of expected demand values, and subject to the supply-side, joining, and demand-side constraints. Based on the objective function, an optimal price profile for the item is provided.

The invention provides a water heater system having a water heater, a mixer valve, and a controller. The water heater includes a thermostat connected to a heating element. The water heater is connected to a cold in pipe and a hot out pipe. The mixer valve is positioned between the cold in pipe and the hot out pipe and provided an output of mixed hot and cold water. The controller is coupled to the thermostat.

The invention discloses a smart management system for energy management and electricity transaction in a virtual power plant and a method for optimizing operation thereof. A distributive energy unit serves as terminal energy and an information source apparatus of the virtual power plant smart management system, and thus a distributive resource system is formed. The virtual power plant smart management system is composed of an operation data collection and management module, an enterprise resource management, prediction and resource deployment combination module, an electricity selling plan optimization module, a transaction platform module, a real-time scheduling optimization module, and a control scheduling execution and synchronous simulation function module. According to the invention, distributive energy information management which is featured by a distributive power generation and energy storage apparatus and a flexible load device is adopted. An entire system architecture is provided for implementing all necessary function modules, such as prediction, resource combination management and deployment optimization, power supply and scheduling optimization, market transaction, real-time monitoring and scheduling. The system and method of the invention have great potential in new energy sources, distributive power generation and electricity sell, and in future power system for realizing efficient demand side power management, and in power market environment after power reform.

The invention discloses an electronic commerce time sequence data anomaly detection method and a system. The method comprises steps: electronic commerce data based on a time sequence are acquired; an Nth phase electronic commerce data adjacent to to-be-detetced data are selected as window statistical data, quantile statistics is carried out on the window statistical data, a normal value upper boundary and a normal value lower boundary in the window statistical data are thus determined, and data out of a normal value range determined by the normal value upper boundary and the normal value lower boundary in the window statistical data are abnormal data; and the abnormal data serve as an application interface for being called by a demand side. Through benchmark detection, time sequence fluctuation identification based on a robust statistics method is realized, and the method and the system of the invention are applied to various distribution conditions. According to different electronic commerce service scenes and different data distribution forms, data anomaly can be automatically found out.

The invention discloses a data sharing method based on a block chain. The data sharing method based on the block chain establishes a new data management model with the help of the block chain technology; and the core idea is that the original data is not separated from the control range of the data provider, the data analysis is completed by the data provider, and only the analysis result data issent. 1) in order to find out the data effectively, the index establishment mechanism of the data provider is discussed, including the metadata extraction mechanism and the establishment mechanism ofthe domain index; 2) the data transaction based on the block chain is analyzed, including the transaction record format and the consensus mechanism, so as to realize transparent transaction of the data and anti-collusion fraud, etc.; and 3) the security calculation with privacy protection is realized between each data provider through the way of intelligent contract according to the computing requirements of the data demand side. The experimental analysis results show that the data sharing method based on the block chain is feasible and safe.

The invention provides an intelligent demand response and demand side optimizing operation system which comprises a power grid layer, a control layer, a transmission layer, a data layer, a supporting layer and an application layer. The layers can be divided scientifically, reasonably and clearly so that system design can be optimized and a procedure is standardized. Each layer is relatively independent. Each layer offers service for the upper layer through an interface and each layer calls the service of the lower layer through an interface, so that a data flow is transmitted between two adjacent layers. Cross-layer calling does not exist. The layers are divided reasonably, so that compatibility and expansibility are enhanced and coupling degree among different networks is reduced.

The invention relates to a block chain-based data management method and a block chain system. The method includes: broadcasting a request of a data transaction with a demanded-side node by a demanding-side node through a block chain network, wherein the request of the data transaction includes transaction attribute data; acquiring the request of the data transaction by the demanded-side node through the block chain network, and sending a transaction response request, which corresponds to the request of the data transaction, to the block chain network according to the transaction attribute data of the request of the data transaction, wherein the transaction response request includes response attribute data, and the response attribute data includes a data identifier; and acquiring the response attribute data in the transaction response request by the demanding-side node through the block chain network, then determining the data identifier in the response attribute data, and downloading data, which correspond to the data identifier, from a preset data trusteeship server according to the determined data identifier. The method improves the security of data transactions and storage.

A methodology is provided for informing targeted Demand-Response (DR) and marketing programs that focus on the temperature-sensitive part of residential electricity demand. The methodology uses energy consumption readings collected from “smart” electricity meters, as well as hourly temperature readings. Individual consumption is decomposed into a thermal-sensitive part and a base load (non thermally-sensitive), a model of temperature response that is based on thermal regimes, i.e., unobserved decisions of customers to use their heating or cooling appliances. This model is used to extract useful benchmarks that compose a thermal profiles of individual customers, i.e., terse characterizations of the statistics of these customers' temperature-sensitive consumption. This knowledge may, in turn, inform the DR program by allowing scarce operational and marketing budgets to be spent on customers whose influencing will yield highest energy reductions at the right time. Methods are also provided for scheduling optimal, individual customer controls of the thermal appliance to achieve a desired profile of the aggregate energy reductions.

The present invention relates to the supply-demand side combination random scheduling technology, especially to an optimal scheduling method considering wind power output and demand response nondeterminacy. The method comprises the step 1, based on an extension probabilistic sequence operation theory, establishing a probability model representing excitation load response nondeterminacy and price load response nondeterminacy, considering influence of the demand response nondeterminacy on cost; the step 2, in response to wind power fluctuation and randomness as background, constructing the current optimal scheduling model of an electric power system considering the wind power output and demand response nondeterminacy at the same time based on a risk constraint and risk cost theory; and step 3, converting a random optimization problem as a linear convex optimization problem for solution through conversion of a target function and a constraint condition. The method provided by the invention performs modeling and analysis aiming at demand response nondeterminacy and performs fine description of the nondeterminacy in the demand response process so as to provide practical reference for the scheduling of the electric power system and improve the stability of the electric power system.

The invention provides a net load interaction multi-dimensional operation system based on smart power grids. The net load interaction multi-dimensional operation system based on the smart power grids comprises a scheduling master station, a user substation, a communication net mobile terminal and a public network on-line device. The scheduling master station is used for formulating a scheduling policy through energy efficiency analysis and simulation modeling, obtained scheduling policy information is sent to the user substation which is installed on a user side through a transport layer. The user substation carries out self energy management, receives and processes the scheduling policy and then sends the scheduling policy to the communication net mobile terminal. Due to the fact that the communication net mobile terminal controls the user substation, an energy optimizing strategy and inquiry and management of a load power utilization condition and an operation state are achieved. The public network on-line device is used for supplying data and policy information to the scheduling master station through the transport layer and supplying electricity consumption information and service to public network users. The system arranges various terminal devices arranged in a scheduling data network, an information inner network, a public network, a communication network and an electric grid in different networks, interconnection and collaborative operation are carried out on the system to achieve intelligent demand response and construction of a demand side optimizing operation system.

A load dispatch system operates in response to algorithmic software to generate an optimized load dispatch schedule based on data selected from one or both of rebound effect data or optimized load dispatch schedule opportunity cost data corresponding to dispatching of resources with a contractually limited number of dispatches in a given time period.

A central site, using grid operator requirements to reduce portfolio power according to frequency decreases within a frequency band, determines the optimal frequency triggers at which each load within a portfolio should reduce power and by how much power. Power availability of each load is optimized. These triggers and individual load power reductions are periodically dispatched from the central site to the individual loads. Each load detects when a frequency deviation occurs and is able to independently and rapidly reduce its power consumption according to the triggers and corresponding power reductions it received previous to the frequency deviation. Reliance upon the central site to detect a frequency deviation and then to dispatch power reductions in real time is not needed. The system also detects frequency increases and directs a portfolio of loads to consume more power. The system applies to energy loads and detection of a grid signal in general.