A method of managing energy by use of processing logic that comprises a load processor as a cloud service is provided. The method includes receiving power load information from a data collection system located at a building and using a cloud analysis layer that employs machine-learning and artificial intelligence for optimization control, analyzing the received power load information to disaggregate load waveform signals and identify device-based power loads by use of a neural network to perform historical device demand and performance analysis to generate device-based demand forecasting, generating demand forecasts for the building to mitigate peak demand based on analysis of a power draw signal and the generated device-based demand forecasting, and determining whether the generated demand forecast for the building is to peak in a near future, based on threshold values of at least one of generated device-based demand forecasting, power price or cost information, and user behavior analysis.

The present invention provides a method for an optimal scheduling decision of an air compressor group based on a simulation technology, which belongs to the technical field of information. The present invention uses expert experience to construct an air compressor energy consumption model sample set, and applies a least squares algorithm to learn relevant parameters of an air compressor energy consumption model; uses maximum energy conversion efficiency and minimum economic cost based on an equivalent electricity as target functions, and applies the simulation technology and a depth first tree search algorithm to solve a multi-target optimal scheduling model of the air compressor group; and finally uses a fuzzy logic theory to describe the preferences of decision makers, and introduces the decision maker preference information into interactive decision making, thereby assisting production staff to formulate safe, economical, efficient and environmentally friendly operation schemes to achieve an operation mode of maximum resource utilization of the air compressor group. The method also has wide application value in different industrial fields.

A method for controlling an air handler including a fan, a heater and/or a compressor, by installing an energy saving controller between a thermostat and the air handler, shutting down the compressor or heater for a first predetermined duration if the compressor or heater has run continuously for a second predetermined duration during the current cycle, while allowing the fan to run for a fan's first run time extension amount equal with the first predetermined duration.

A device for controlling an operating state of at least one component of a production plant, including an energy control unit for providing a state change signal for changing the operating state of the at least one component from a first operating state to a second operating state, wherein the device includes a monitoring unit which is designed to receive the state change signal of the energy control unit, and to provide the state change signal of the energy control unit for changing the first operating state to the second operating state, and to modify the state change signal of the energy control unit for providing the second operating state, and to block the state change signal of the energy control unit for preventing a change of state into the second operating state.

An energy evaluation system includes an energy system modeling framework and an Application Program Interface (API) as part of the energy system evaluation framework. The energy evaluation system can be configured to query a simulation application program interface (API) with PV system configuration parameters as arguments, generate a shade loss time series based on the system configuration parameters, simulate energy output for the PV system based on the shade loss time series, and output energy aggregations based on the simulation.

A computer implemented method for energy management in a building by taking information on energy usages of a metered building and matching the energy usage to calculated energy usages for electrical devices.

Disclosed herein are methods and systems for normalizing an energy use intensity value to compensate for variations in energy usage due to environment. Also disclosed are methods and systems for forecasting energy use intensity values.

A system, method and program product for evaluating energy suppliers from a set of energy suppliers to meet demand for a distribution grid. A system is disclosed that includes: a bid volatility index (BVI) calculator that determines a BVI for each supplier for an offer; a profiling system that profiles each supplier with a set of predictor variables; a ranking system that determines a winning bid probability of each supplier based on the predictor variables; a modeling system that refines the winning bid probability based on changes to at least one predictor variable; and a scoring system that determines a confidence score for each supplier, wherein the confidence score indicates a confidence level that the supplier can meet the offer.

A system and method for monitoring a heating, ventilation, or air conditioning (HVAC) system of a building is provided. A monitoring server, located remotely from the building, is configured to receive power consumption data and control signal data from a monitoring device at the building and to receive energy pricing data from a customer device associated with the HVAC system or a database that stores energy pricing data. The monitoring server is configured to determine energy cost data for segments of a selected time period based on the power consumption data, the control signal data, and the energy pricing data. The monitoring server is also configured to communicate the energy cost data to the customer device for display on the customer device.

A method for managing an air conditioner is provided. The method includes determining a power consumption pattern of the air conditioner while controlling the air conditioner, based on at least one power consumption factor, calculating a threshold value of power consumption according to an operating time of the air conditioner based on distribution information of the determined power consumption pattern, determining whether a current power consumption is within a threshold value range of the calculated threshold value of power consumption, and generating and transmitting a signal to a manager server if the current power consumption is not within the threshold value range.