Aspects of the present disclosure provide systems, methods, and computer-readable storage media that leverage artificial intelligence and machine learning (ML) to forecast energy demand and to generate an energy plan for one or more facilities of an organization. For example, a system may forecast an occupancy of the facilities for use with historical demand data in forecasting the energy demand. The forecasting may be performed by one or more trained ML models. Additional ML models may be trained to select energy resources that satisfy the forecasted energy demand and that prioritize constraint(s). The system may generate an energy plan that indicates information related to the selected energy resources, such as cost, energy type, environmental impact, etc., for use in increasing an amount of renewable energy resources used at the facilities. In some implementations, the system may recommend actions to reduce a negative environmental impact associated with the selected energy resources.

A photovoltaic system with an inverter, at least one solar panel for providing electrical power, and electrical wiring for coupling electrical power from the at least one solar panel to the inverter. Also included is a transmitter for transmitting a messaging protocol along the electrical wiring, where the protocol includes a multibit wireline signal. Also included is circuitry for selectively connecting the electrical power from the at least one solar panel along the electrical wiring to the inverter in response to the messaging protocol.

A wind power converting device includes a plurality of grid-side converters, a plurality of generator-side converters and a plurality of DC buses. The grid-side converters are connected with each other in series and electrically coupled to a power grid. The generator-side converters are connected with each other in series and electrically coupled to a generator device. The DC buses are electrically coupled between the grid-side converters and the generator-side converters. The DC buses include a positive DC bus, a negative DC bus and at least one intermediate DC bus between the positive DC bus and the negative DC bus. A cross section area of a conductor of the intermediate DC bus is smaller than 30% of a cross section area of a conductor of the positive DC bus or smaller than 30% of a cross section area of a conductor of the negative DC bus.

Various embodiments of the teachings herein include an energy management method for an energy system. The method may include: calculating a power prediction for use of an energy storage unit of the energy system for a time range; and determining, on the basis of the calculated power prediction, an externally usable partial storage capacity of the energy storage unit. The partial storage capacity according to the power prediction is not used by the energy system within the time range. The determined partial storage capacity is provided for use external to the energy system.

Provided is a power management apparatus for determining an order of priority with respect to power supply to a consuming device at a target location in a power system that includes a plurality of locations between which power can be interchanged, the target location including at least the consuming device, a power generation unit that generates power from natural energy, a power storage unit, and a commercial power source. The power management apparatus includes a determination unit for determining an order of priority among a plurality of controlled objects including at least power supply from the power generation unit, power supply from the power storage unit, power supply from the commercial power source, and power consumption reduction by transferring a load from the consuming device, and a priority setting unit for setting the order of priority that has been determined by the determination unit for the target location.

The present disclosure describes a method of operating a power plant, comprising: obtaining an energy production forecast for a forecast period; generating a plurality of simulation results associated with simulated operation of the power plant for the forecast period, wherein the plurality of simulation results are generated by simulating operation of the power plant using a plurality of control algorithms; assigning a score to each of the plurality of control algorithms based on the generated plurality of simulation results; selecting a control algorithm from the plurality of control algorithms for the forecast period based on the assigned score for the control algorithm; and operating the power plant in accordance with the control algorithm for a duration of the forecast period.

Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.

A solar cell assembly is presented. The solar cell assembly includes one or more solar cell units coupled in series. The solar cell unit includes a first solar cell series and a second solar cell series connected in parallel. The first and second solar cell series include a plurality of solar cells connecting in series respectively. The solar cell assembly also includes a bypass diode coupled to each solar cell unit and shared between the first and second solar cell series in each solar cell unit.

An apparatus for a system power device utilized in an interconnected power system. The interconnected power system may include multiple system power devices connected to various inter connections of groups of direct currents (DC) from power sources which also may be connected in various series, parallel, series parallel and parallel series combinations for example. The apparatus may include a processor connected to a memory and a communication interface operatively attached to the processor. The communication interface may be adapted to connect to a mobile computing system of a user in close proximity to the system power devices. A graphical user interface (GUI) of the mobile computing system may allow various operational and re-configuration options for the interconnected power system which may include installation, maintenance and monitoring schedules in the interconnected power system when the user of the GUI is in close proximity to the system power devices.

A wind turbine electrical power generating system includes a first generator configured to be mechanically coupled to a rotor, a second generator configured to be mechanically coupled to the rotor; and an electrical power conversion system including at least a first and a second power converter section. The first power converter section is electrically coupled between a rotor winding of the first generator and a coupling point and a stator winding of the first generator is electrically coupled to the coupling point such that only a fraction of electrical power generated by the first generator passes through the power conversion system. The second power converter section is electrically coupled between an electrical power output of the second generator and the coupling point such that the electrical power provided by the second generator to the coupling point passes through the power conversion system.