The disclosure provides a method for calculating a parameter changing domain of loads under a case that guarantees a constant locational marginal price in an electricity market, which relates to the electricity market field of the power system. With the method in the disclosure, the clearing model on the locational marginal price in the general form is established, and the safe changing domain of the locational marginal price with respect to the loads may be derived and calculated based on the first-order KKT condition expansion of the clearing model on the locational marginal price in the general form. When the increment of the nodal loads is subordinate to the changing domain, the locational marginal price may remain unchanged. The parameter changing domain of loads in the power system may be used for the comprehensive evaluation of power market clearing results and assisting the operation of the power market.

An aspect of an information processing apparatus according to this invention includes an acquisition unit that acquires power sales information related to a plurality of types of electric power of different power generating systems, a generation unit that generates power use support information for supporting selective use of one or more types of electric power from the plurality of types of electric power based on the power sales information, and an output unit that outputs the power use support information.

Systems and methods related to resource distribution for a fleet of machines are disclosed. A system may include a fleet of machines each having an associated resource capacity and a resource requirement to perform a task. The system may further include a controller having a resource requirement circuit to determine an aggregated amount of the resource requirement and an aggregated amount of the resource capacity. A resource distribution circuit may adaptively improve, in response to an aggregated amount of the resource capacity, an aggregated resource delivery of the resource.

A method and device which operates to record and evaluate an output of electrical energy of a hybrid power plant, wherein, in accordance with time and/or load, at least one expected generable and usable energy contribution resulting from the utilization of renewable energy sources and one expected energy contribution resulting from the utilization of convention energy carriers are recorded with different tariffs.

Various embodiments include a method for controlling an energy exchange among a plurality of energy systems using a control center, wherein a component of one of the plurality of energy systems is coupled to the control center via an interface module for data exchange. The method includes: transmitting a first data set to the interface module with a prediction profile regarding an energy exchange of the component; transmitting a second data set to the control center using the interface module including the first data set and component-specific data of the component; determining control data using the control center using the prediction profile and the component-specific data and data communicated to the control center by further energy systems to determine the control data; transmitting the determined control data to the interface module; and operating the component based on the control data.

This disclosure provides systems, method, and computer-readable media for operating a sensor network. The sensor network can include an array of sensor devices and gateways. The sensor devices can sense various conditions of an environment. The sensor devices can include temperature sensors, occupancy detectors, access sensors, motion sensors, tracking devices, etc. The sensor devices can also network and communicate with one another and the gateways in an ad hoc or mesh network. The environment can include different locations, such as warehouse, office building, a complex of buildings, cargo vehicles, containers or the like. The sensor network can be deployed for controlling power consumption, logistics, automated manufacturing, healthcare, intelligent buildings, and smart cities among many other implementations. The sensor devices can communicate sensed conditions and transmit data among each other without a predefined route. When a gateway receives the data, the data can be stored and analyzed at a different location.

A system and related methods configured to embed information into the blockchain of a mined crypto-currency. The system generally comprises a receiver attached to a crypto-currency mining device, that is in communication with a transmitter connected to a power grid or a power generator that can take information relating to the power grid or the energy production and transmit it to the receiver. The receiver will then send the information to the crypto-currency mining device to embed it into the blockchain of a mined crypto-currency. The receiver and transmitter can also take the information together with pre-defined conditions in order to determine if crypto-currency is suitable to be mined.

Provided is an artificial intelligence (AI)-based peer-to-peer (P2P) power trading method and apparatus that encourages a household with relatively great power consumption or a household with relatively small power consumption according to a power load pattern for each time period to participate in power trading by optimizing power consumption through AI-based P2P power trading in a cluster including a nanogrid.

The power information management device is directly or indirectly connected to a communication network and is provided with: wiring that transmits power; a power measurement unit that measures an amount and a direction of the power transmitted through the wiring; a power information generation unit that generates, on a predetermined period basis, power information that represents the amount and the direction of the power measured by the power measurement unit; and a communication unit that transmits the power information to the communication network, wherein a load unit, a power generation unit and a power storage unit are directly or indirectly connectable to the wiring.

In energy markets in which bidding process is used to sell energy, it is important that a mechanism for deciding bidding amount is in place. State of the art systems in this domain have the disadvantage that they rely on simulation data, and also they make certain assumptions, and both the factors can affect accuracy of results when the systems are deployed and are expected to handle practical scenarios. The disclosure herein generally relates to energy markets, and, more particularly, to a method and a system for Reinforcement Learning (RL) based model for generating bids. The system trains a RL agent using historical data with respect to competitor bids places and Market Clearing Prices (MCPs). The RL agent then processes real-time inputs and generates bidding recommendations.