860 results about "Demand side" patented technology

An Internet-based consumer service marketing, merchandising and education / information system which enables service-providers, retailers and their respective agents, and consumers to carry out service-related functions along the demand side of the retail chain. A central USN / SM / SN / URL RDBMS stores a central database of USN / SM / SN / URL links, wherein the USN represents a Universal Service Number assigned to a particular service offered by a service-provider, the SM represents a Service Mark used in connection with the particular service, the SD is representative of one or more Universal Resource Locators pointing to information resources on the WWW relating to the particular service. A first subsystem enables a service-provider's marketing, brand and / or service managers to create and manage a local database of USN / SM / SN / URL links related to the consumer services of the service-provider being offered for sale in both physical and / or electronic marketplaces, and periodically transport the local database of USN / SM / SN / URL links to the central USN / SM / SN URL RDBMS by electronic data transport techniques. The local database of USN / SM / SN / URL links is managed with a local USN / SM / SN / URL RDBMS, and selected by the service-provider's marketing, brand and / or service managers so as to create a desired brand image for each consumer service of the service-provider. A second subsystem enables consumers to access one or more USN / SM / SN / URL links in the central USN / SM / SN / URL RDBMS, to request and obtain information about a service-provider's consumer service so as to make informed / educated purchases along the demand side of the retail chain. A third subsystem enables service-providers and their advertising and marketing agents to access one or more USN / SM / SN / URL links in the central USN / SM / SN / URL RDBMS, to display consumer service advertisements to consumers, at or near the point of purchase or sale within both physical and / or electronic retail shopping environments so as to project the desired brand image to consumers. A fourth subsystem enables retailers and their marketing and promotional agents to access one or more USN / SM / SN / URL links in the central USN / SM / SN / URL RDBMS, to promote consumer services to consumers, at or near the point of purchase or sale within both physical and / or electronic retail shopping environments so as to promote the sale of such services.

A utility monitoring system and method for relaying to a consumer personalized utility consumption information in order to induce the consumer to conserve the utility. The system includes a data source, a processor coupled to the data source, and a display unit coupled to the processor. The processor receives utility consumption information from the data source. The processor then generates enhanced utility consumption information, as well as a display of the data. The processor may also provide Demand-Side Management for utility conservation based on the utility consumption information and the consumer's settings. The display is then transmitted to the display unit to be displayed. The display unit resides in the consumer's home or business. A broadband server may also be used to provide customized broadband information.

A system for shifting energy demand from on-peak time windows to off-peak time windows by using hot water heater load shifting, while providing the end user with the level of service (i.e., availability of hot water) according to the user's customary use described by service quality criteria. The shift is accomplished by a controller located at the end user establishment and in communication with a central control server. The controller monitors local water heater upper and / or lower temperature and controls upper and / or lower water heater heating elements in accordance with a demand shift process commanded by the central control server. The controller may determine usage and remaining capacity for reporting back to the central control server. A volumetric capacity and usage determination is disclosed. The control server may select water heaters according to use patterns and / or measured capacity. One embodiment is adapted for use with existing water heaters without disrupting safety features of the existing water heater.

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.

This invention relates to an integrated building control and information system with wireless networking, including the controlling and / or monitoring of various building devices or appliances such as air conditioning, lighting, temperature, humidity, etc., including practically any environmental condition or mechanical operation. Also, the invention relates to a system which includes a vendor tracking system comprising an industrial operator interface, with communication, local data processing, and data storage capabilities, which provide an efficient information resource for service and product control. Additionally, the invention relates to a system including a utility monitoring and / or control system to monitor and / or control the facilities utilities such as electricity, gas, water, steam, etc., through revenue and non-revenue rated metering devices, allowing real-time demand side utility management through the controlled equipment. Additionally, this invention incorporates a wireless interface, of any combination of sub-systems, to increase the coverage area to include remote locations, within a radius up to 10 miles, and / or large facilities which exceed the limitation of hard wired components, resulting in cost reductions for installation and maintenance. In facilities such as shopping malls, office buildings, commercial and industrial complexes, the consolidated central management of energy consumption, building equipment, lighting, environmental control, and vendor services provides a substantial savings and effective use of limited natural resources.

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 current invention is an intelligent distributed energy storage system for demand side power management. It provides a system that can store electric energy close to the point of use or close to the distributed production for use when demanded by the users. These storage nodes can communicate with a central clearing entity to negotiate if the nodes should buy energy for storage, provide energy to the user above a given power level, or sell power back to the grid. The function will depend on the amount of energy stored in the node, the cost of the electric energy, the cost of the electric peak power, the price of resold electrical energy and power, plus the local usage.

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 relates to a stall sharing method, system and server based on a network especially a mobile network, and belongs to the field of the Internet of Things, in particular to the field of stall sharing. The idle stall sharing technology is provided for solving the problem that idle stalls can not be shared, the information that the stalls are idle is stored in a database through a server, and the server searches for the matched information of the idle stalls according to request information of the stall demand side, distributes the idle stalls to the demand side and has the payment management function and the like. According to the stall sharing method, system and server, the owning side (the supply side) of the idle stall resource and the owner (the demand side) urgently needing parking are connected, and therefore optimal configuration of the stall resource and maximization of economic benefit are achieved.

A method and system for reducing demand on a power grid through demand side management includes receiving assigned priorities from a customer for smart appliances and for appliances plugged into sockets of one or more smart plugs of the customer, the assigned priorities indicative of a customer-preferred sequence for disconnection of, or adjustment of power to, the appliances from the power grid. The system determines whether to disconnect or adjust power to at least one of the appliances of the customer; and selects at least one of the appliances according to the assigned priorities to reduce demand on the power grid. The system sends one or more commands, the one or more commands indicative to the one or more smart plugs to disconnect or adjust power to the selected at least one of the appliances based on selecting at least one of the appliances.

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.

The invention discloses a method and a device for processing heterogeneous information contents. The method comprises the following steps of: receiving heterogeneous information data contents of a service provider; obtaining a corresponding predefined format according to information types of the heterogeneous information data contents; analyzing the data contents according to the predefined format and packaging the analyzed data contents as a content entity; and storing a content object to a corresponding content library by mapping a reversely-defined document type definition (DTD) document. According to the method and the device, disclosed by the invention, various heterogeneous information data types are analyzed and stored; the content library of corresponding types is created; the heterogeneous information data types are stored to the content library and then can be associated to heterogeneous information integrated sets of different service demand parties, so that the query of the service system and the issue of the data contents are facilitated; and the technical problems of load of network transmission bandwidth, unicity of the provided data format, poorer expansibility of content delivery, and the like during docking the heterogeneous information contents of a plurality of systems in the prior art are solved.

A system and method for communicating between a master and slave devices for managing home utility costs is provided. The system includes a measuring device for determining gas or water flow in the home, a memory that stores data relating to past usage, and that also receive data from the measuring device. A controller operatively communicates with the measuring device, memory, and at least one home appliance to provide a message to a homeowner, or transmit information to a utility, or display a proposed operational mode. The controller may include a lock-out feature to prevent a homeowner from overriding a proposed mode or operation, or the controller can shut-off gas or water flow based on a measured flow rate.

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 utility processing system includes a utility processor which accepts utility metering and pricing data as inputs and outputs consumption decisions and usage and billing information. In accordance with one aspect of the invention, the utility processor obtains metering data from utility meters located at remote consumer facilities and obtains utility pricing data from the Internet. The utility processor then uses an optimization algorithm to determine an optimum consumption decision. In accordance with another aspect of the invention, the optimum consumption decision can include purchasing electricity from the grid, generating electricity using a Distributed Generation ("DG") system, conserving electricity using a Demand-Side Management ("DSM") system, and switching to alternative fuel sources. In accordance with still another aspect of the invention, the utility processor provides various pricing, billing, and usage data to customers.

The invention discloses power utilization mode classification and control method based on user behavior characteristics. With an improved secondary clustering model built by use of a secondary clustering method, the load point of each day of the same user in one year in an industrial park is taken as a characteristic vector, the daily power utilization characteristics of the user can be concluded from a clustering result, and a plurality of typical power utilization modes of the enterprise user can be provided, and therefore, basis can be provided for load prediction, fault diagnosis, electricity pricing and the like in the industrial park; furthermore, the optimal plane power utilization mode in demand side management can be selected by virtue of optimization function modeling on load data; the model is advantageous for a power supply company to reduce the loss of electricity selling profit as much as possible under the premise of guaranteeing power supply; at last, a user power utilization behavior mode library in the industrial park built on the basis is capable of comparing a new settling enterprise inconvenient to model with the modelled typical user mode and obtaining the load characteristics of the new settling enterprise by virtue of analogizing, and therefore, the planning efficiency of the park can be improved.

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.