A method for performing validation, estimation, and editing (VEE), including: displaying real-time electrical usage for a building on a controllable video display; executing VEE rules on each of the streams to generate and store a corresponding post VEE readings, the post VEE readings comprising tagged energy consumption data sets each associated with a corresponding one of the streams, each of the data sets comprising first groups of contiguous interval values tagged as having been validated and second groups of contiguous interval values tagged as having been edited, the first groups of contiguous interval values corresponding to correct data; for the each of the data sets, creating anomalies having different durations using only the first groups of contiguous interval values; generating estimates for the anomalies by employing estimation techniques; for each of the durations, selecting one of the estimation techniques for subsequent employment when performing VEE of subsequent energy consumption data for the corresponding one of the streams; and executing functions on the streams translated by the generating and directing directing the controllable video display to display a weather normalized usage baseline recommendation for action regarding current energy usage.

The present invention relates to a local control system (6) configured to define a charge or discharge command made to a power storage device (5) on the basis of a charge or discharge instruction, sent by an overall control system (7), and the instantaneous power used by the power-using devices (4), such that the instantaneous power used by the power using devices (4) is always greater than the discharge power of the power storage device (5), so as to guarantee that the power stored by the power storage device (5) is not re-injected into the power distribution network (3).

A frequency response optimization system includes a battery configured to store and discharge electric power, a power inverter configured to control an amount of the electric power stored or discharged from the battery at each of a plurality of time steps during a frequency response period, and a frequency response controller. The frequency response controller is configured to receive a regulation signal from an incentive provider, determine statistics of the regulation signal, use the statistics of the regulation signal to generate an optimal frequency response midpoint that achieves a desired change in a state-of-charge (SOC) of the battery while participating in a frequency response program, and use the midpoints to determine optimal battery power setpoints for the power inverter. The power inverter is configured to use the optimal battery power setpoints to control the amount of the electric power stored or discharged from the battery.

A system or a method to at least partially steer systems, e.g. heating and/or cooling and clusters of systems, when the controller of the system is unknown or when the transfer function of the system is unknown. The steering of the energy flow, e.g. heating/cooling/electrical energy, includes providing energy to the system or the cluster of systems and preferably to manage common constraints, like capacity problems.

A building energy system includes HVAC equipment, green energy generation, a battery, and a predictive controller. The HVAC equipment provide heating or cooling for a building. The green energy generation collect green energy from a green energy source. The battery stores electric energy including at least a portion of the green energy provided by the green energy generation and grid energy purchased from an energy grid and discharges the stored electric energy for use in powering the HVAC equipment. The predictive controller generates a constraint that defines a total energy consumption of the HVAC equipment at each time step of an optimization period as a summation of multiple source-specific energy components and optimizes the predictive cost function subject to the constraint to determine values for each of the source-specific energy components at each time step of the optimization period.

Methods, and apparatus for determining a characteristic of an inertial contribution to an electrical power grid are described. A change in inertia in the electrical power grid based on one or more inertia measurements performed in a first time period is determined. On the basis of the determined change in inertia and data indicative of an inertia contribution characteristic of one or more energy production facilities and/or one or more energy consuming devices in the electric power grid, a characteristic of an inertial contribution to the electrical power grid is determined for a second time period different to the first time period.

A method for exchanging electrical energy between a plurality of private electricity networks each comprising: a coordination unit, groups of electrical devices, and a plurality of relays arranged on the power supply lines of the devices. The method comprises: a) transmitting device status data from the devices to the coordination unit, b) establishing a set of electrical energy resources and requirements, c) comparing the set of resources and requirements with those of other private networks, d) allocating the requirements and resources to one another, e) ensuring at least part of the routing of electrical energy by means of digital certificates and instructions for drawing electrical energy that are sent to the relays, f) keeping record of each energy exchange in order to define a transaction between two private networks.

A power-demand-value calculating system includes a storage device and an arithmetic device. The storage device stores data of combinations of temperatures and power result values. The arithmetic device selects data equal to or higher than a predetermined temperature from the storage device and, calculates, when the power result values corresponding to the temperatures of the selected data are smaller than a power calculation value which is calculated from a regression formula derived from the data of the combinations and the temperatures of the selected data, a maximum power demand value based on the temperatures equal to or higher than the predetermined temperature and the regression formula.

A method for monitoring and controlling an electrical network that includes at least one transformer station delimiting a medium-voltage sub-network and a low-voltage sub-network and a plurality of entities that are connected to a determined voltage in the low-voltage sub-network, each entity being a consumer and/or a producer of electricity in the low-voltage sub-network. The method includes determining control data on the production and/or on the consumption of electricity to be applied to one or more entities of the low-voltage sub-network taking into account previously determined production and/or consumption quotas.

A system for monitoring and optimizing fuel consumption by a genset at an oil rig is described. Gensets require large amounts of fuel to initiate and to maintain in a standby, idling position. The system accesses data in a drill plan to determine the present and future power requirements and initiates gensets if needed; otherwise gensets can be shut down. Excess power can be stored in a power storage unit such as a capacitor, battery, or a liquid air energy storage unit.