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1812 results about "Demand response" patented technology

Demand response is a change in the power consumption of an electric utility customer to better match the demand for power with the supply. Until recently electric energy could not be easily stored, so utilities have traditionally matched demand and supply by throttling the production rate of their power plants, taking generating units on or off line, or importing power from other utilities. There are limits to what can be achieved on the supply side, because some generating units can take a long time to come up to full power, some units may be very expensive to operate, and demand can at times be greater than the capacity of all the available power plants put together. Demand response seeks to adjust the demand for power instead of adjusting the supply.

Supply chain demand forecasting and planning

Disclosed herein are systems and methods for demand forecasting that enable multiple-scenario comparisons and analyses by letting users create forecasts from multiple history streams (for example, shipments data, point-of-sale data, customer order data, return data, etc.) with various alternative forecast algorithm theories. The multiple model framework of the present invention enables users to compare statistical algorithms paired with various history streams (collectively referred to as “models”) so as to run various simulations and evaluate which model will provide the best forecast for a particular product in a given market. Once the user has decided upon which model it will use, it can publish forecast information provided by that model for use by its organization (such as by a downstream supply planning program). Embodiments of the present invention provide a system and method whereby appropriate demand responses can be dynamically forecasted whenever given events occur, such as when a competitor lowers the price on a particular product (such as for a promotion), or when the user's company is launching new sales and marketing campaigns. Preferred embodiments of the present invention use an automatic tuning feature to assist users in determining optimal parameter settings for a given forecasting algorithm to produce the best possible forecasting model.

Demand responsive method and apparatus to automatically activate spare servers

A server and method of its operation adapt the number of server applications within the server. The server is connected to a computer network. The server comprises one or more active server applications, a load detector, an inactive additional server application and an allocator. The load detector, which may be part of a load balancer, is connected to the one or more server applications and the computer network. The allocator is connected to the load detector and the additional server application. The allocator causes the additional server application to activate in response to a load condition. The method measures a load on the server, detects when the load exceeds a threshold and, in response thereto, activates an additional server application on the server. Optionally, the method also detects when the load is less than a deactivation threshold, and in response thereto, deactivates the additional server application. Also disclosed is a system comprising a plurality of computers, one or more connections to one or more servers, and a module. Each of the computers is capable of hosting a server application. The module is connected to the: computers and the connection(s). The module receives a request for an additional server application from one of the servers. Such a request may, for example, be generated when the server is experiencing a surge. In response to the request, the module activates the server application on one or more of the computers so as to support the requesting server.

Day-ahead load reduction system based on customer baseline load

Provided is a day-ahead load reduction system based on a customer baseline load for inducing a user to efficiently manage energy consumption by applying an incentive (user compensation according to load reduction) to achieve load reduction and load decentralization. The day-ahead load reduction system based on a customer baseline load operates in connection with a provider terminal and a user terminal through a network to induce a reduction in the load of a user and includes an AMI/AMR translator collecting load profile data of the user in real time, converting the load profile data and storing the load profile data in a meter data warehouse; a meter data management system monitoring and analyzing the load profile data stored in the meter data warehouse in real time; a demand response operation system managing the demand of the user by using the load profile data and performing overall management, analysis and verification of a day-ahead load reduction event; a customer energy management system operating in connection with the demand response operation system and providing information on the load to the user through the user terminal in real time to allow the user to control the load; and an account system operating in connection with the demand response operation system and the customer energy management system, calculating an incentive for the day-ahead load reduction event and notifying a provider and the user of the incentive through the provider terminal and the user terminal.

Routing position data secrecy storing and sharing method based on block chain

Provided is a routing position data secrecy storing and sharing method based on block chains. The routing position data secrecy storing and sharing method includes a data storing method and a data sharing method. The data storing method includes the steps of node configuration, data encryption sending, storage subnetwork verification storing, etc. The data sharing method includes the steps of demand generation, demand response, sharing achievement and the like. The effects of the invention are as follows: through a block chain technology, data sharing is realized through data encryption storage and a decentralized network to solve the problems that data storage parties have no right to use data and users do not have channels to selectively enable personal data to be accessed; local encryption sending is adopted during data storage, service parties store encrypted data, the users themselves save decryption secret keys, and the service parties have no access to original data, so a better data protection effect is achieved; and the block chain technology is adopted during storage, commonly recognized storage is realized through a practical Byzantine fault-tolerant algorithm, workload bottleneck problems of centralized storage are solved, and data is prevented from being tampered.
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