A power identification device at least includes a measurement information acquisition unit for acquiring the amount of power generation by a power producer and the amount of power consumption by a consumer respectively as measurement information, a rule management unit for managing a generation rule for generating attribute information, a distribution rule and a loss rule for distributing the attribute information to the consumer, the attribute information containing a primary attribute related to each of the amount of power generation and the amount of power consumption and an additive attribute related to the amount of power generation, an attribute computation unit for generating the attribute information from the measurement information based on the generation rule and distributing the attribute information from the power producer to the consumer based on the distribution rule and the loss rule, and an attribute output (visualization) unit for outputting the attribute information to the outside.

A facility providing systems and methods for managing and optimizing energy consumption and/or production is provided. The facility provides techniques for optimizing energy-consuming and energy-producing systems to meet specified demands or goals in accordance with various constraints. The facility relies on models to generate an optimization for an energy system. In order to use generic models to simulate and optimize energy consumption for an energy system, the generic models are calibrated to properly represent or approximate conditions of the energy system during the optimization period. After the appropriate models have been calibrated for a given situation using one or more modeling parameter sets, the facility can simulate inputs and responses for the corresponding system. The facility uses the generated simulations to generate a plan or control schedule to be implemented by the energy system during the optimization period.

Methods of providing services to individual and methods of manufacturing items are described. Data structures to represent priority values for those individuals or items are also described. By ascribing priority values to a set of items, those items can be grouped based on those priority values. Once grouped based on priority values, the items within each group can be manufactured according to group priority as well as according to the characteristics of each item to be manufactured within that group. The same concept applies to providing services to individuals.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying network security risks. One of the methods includes receiving organizational hierarchy data and receiving access privilege data for a network, generating an adjacency matrix that represents connections between individuals within the organizational hierarchy and various groups, and that represents connections between the individuals and various access privileges, selecting an analytic technique for analyzing the adjacency matrix, determining, for each individual, an individual score that represents a security risk associated with the individual's network account, and in response to determining that the individual score meets a threshold, applying security controls.

The present disclosure describes transaction-enabling systems and methods. A system can include a controller and a fleet of machines, each having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement. The controller may include a resource requirement circuit to determine an amount of a resource for each of the machines to service the task requirement for each machine, a forward resource market circuit to access a forward resource market, and a resource distribution circuit to execute an aggregated transaction of the resource on the forward resource market.

Methods for implementing power delivery transactions between a buyer and a seller of electrical energy supplied to an electrical grid by an integrated renewable energy source (RES) and energy storage system (ESS) of a RES-ESS facility are provided. Estimated total potential output of the RES is compared to a point of grid interconnect (POGI) limit to identify potential RES overgeneration, and the buyer is charged if potential RES overgeneration is less than potential overgeneration during one or more retrospective time windows. The method provides a basis for the RES-ESS facility owner to be paid for an estimated amount of energy that did not get stored as a result of a grid operator not fully discharging an ESS prior to the start of a new day.

Gross energy load can be determined by combining periodic net load statistics, such as provided by a power utility or energy agency, with on-site power generation, such as photovoltaic power generation, as produced over the same time period. The gross energy load provides an indication upon which other types of energy investment choices can be evaluated. These choices can include traditional energy efficiencies, such as implementing electrical efficiency measures, which includes cutting down on and avoiding wasteful energy use and switching to energy efficient fixtures, and improving the thermal efficiency and performance of a building. The choices can also include non-traditional energy efficiencies, such as replacing a gasoline-powered vehicle with an electric vehicle, fuel switching from a water heater fueled by natural gas to a heat pump water heater, and fuel switching from space heating fueled by natural gas to a heat pump space heater.

The invention is a method of constructing a wind farm from a predefined number of wind turbines in a predetermined space. This method comprises two discrete distributions (RD1, RD2), one for the wind speed and one for the wind direction, and a first discrete grid (RD3) of the predetermined space. The method also comprises the probability of occurrence (Prob) of each discrete wind speed value in each discrete wind direction. This method uses a first wind turbine arrangement in the predetermined space, then the position of the wind turbines is modified, one by one (i), by determining discrete positions (PDP_i) around the position to be modified. The position selected (Pos_i) is the one allowing the annual energy produced by the wind farm to be maximized.

Disclosed are a method and apparatus for detecting a fault, and a method and apparatus for training a model. The method includes: acquiring characteristic data and actual temperature of a first wind turbine among n wind turbines, wherein the characteristic data of the first wind turbine is intended to characterize a working state of the first wind turbine, and n is an integer greater than 1; acquiring a prediction temperature set by inputting the characteristic data of the first wind turbine into a temperature prediction model corresponding to each of the n wind turbines; and detecting, based on the predicted temperature set and the actual temperature of the first wind turbine, whether the first wind turbine encounters a fault. Compared with the related art which depends on the working experience of the staff, the technical solution according to the embodiments of the present disclosure can more accurately detect whether a wind turbine encounters a fault, and provide early warning in time, so as to reduce the failure rate of the wind turbine.

An operational circuit of a virtual currency data processing device includes: at least two operational chip groups (31) configured to operate within respective operating voltage threshold ranges of the operational chip groups (31) to receive a communication signal which includes an issued task, perform calculations according to the issued task, and transmit a communication signal which includes a calculation result; a control module (32) configured to operate within an operating voltage threshold range of the control module (32) to transmit the communication signal which includes the issued task and receive the communication signal which includes the calculation result; at least two signal forwarding and electrical isolation modules, each of which is communicatively connected to the control module and a respective operational chip group and is configured to forward communication signals between the control module and the respective operational chip group, and isolate an operating voltage threshold of the operational chip groups from an operating voltage threshold of the control module to make the operational chip groups and the control module capable of identifying communication signals sent by each other.