The techniques disclosed herein enable systems to enable multi-market optimization of renewable energies using data-driven models. To achieve this, a model retrieves a current state from a resource generation system and associated resource markets. The model can then compute a policy based on the state as well physical and technical constraints. The policy defines various actions that direct operation of the resource generation system such as resource production and dispatch to markets. Applying the policy to the resource generation results in a modified state which the model extracts along with a measure of optimality which quantifies the success of the policy. Based on these metrics, the model can generate an updated iteration of the policy defining a different set of actions. In this way, the model can gradually develop an optimal policy for controlling the resource generation system.

The techniques disclosed herein enable systems to enable multi-market optimization of renewable energies using data-driven models. To achieve this, a model retrieves a current state from a resource generation system and associated resource markets. The model can then compute a policy based on the state as well physical and technical constraints. The policy defines various actions that direct operation of the resource generation system such as resource production and dispatch to markets. Applying the policy to the resource generation results in a modified state which the model extracts along with a measure of optimality which quantifies the success of the policy. Based on these metrics, the model can generate an updated iteration of the policy defining a different set of actions. In this way, the model can gradually develop an optimal policy for controlling the resource generation system.

A method includes providing a net consumption trajectory comprising net consumption targets for one or more subperiods of a time period. Each net consumption target indicates a target difference from a beginning of a time period to an end of the subperiod between total consumption and total production or offset. The method also includes generating, for a subperiod of the plurality of subperiods, a set of curtailment actions predicted to achieve the net consumption target for the subperiod and implementing the set of curtailment actions.

A method includes providing a net consumption trajectory comprising net consumption targets for one or more subperiods of a time period. Each net consumption target indicates a target difference from a beginning of a time period to an end of the subperiod between total consumption and total production or offset. The method also includes generating, for a subperiod of the plurality of subperiods, a set of curtailment actions predicted to achieve the net consumption target for the subperiod and implementing the set of curtailment actions.

The present disclosure presents techniques for improving operational efficiency of climate control systems. A climate control system may include climate control equipment, a sensor that measures temperature in a building, and a control system that controls operation of the equipment using a first temperature schedule, which associates each time step with a temperature setpoint, when the building is occupied. When not occupied, the control system determines an expected return time based on historical occupancy data associated with the building, determines the temperature setpoint associated with the expected return time, determines candidate schedules each expected to result in the inside air temperature meeting the temperature setpoint, determines efficiency metrics each associated with one of the candidates based on historical performance data resulting from previous operation of the climate control system, and controls operation of the equipment based on a second temperature schedule selected from the candidates based on associated efficiency metrics.

Embodiments determine the effect of an environmental maintenance device on other environmental maintenance devices in environmentally controlled space. The determined effects may be modeled and graphically represented using, for example, an effectiveness map. In the case of a data center, an exemplary effectiveness map may illustrate the effect that one or more computer room air conditioners (CRACs) have on themselves and on other CRACs in the data center. In the case of an office building, an exemplary effectiveness map may illustrate the effect that one or more selected variable air volume (VAV) terminal units have on their own thermostat readings and the thermostat readings of other VAV terminal units in the office building.

Embodiments determine the effect of an environmental maintenance device on other environmental maintenance devices in environmentally controlled space. The determined effects may be modeled and graphically represented using, for example, an effectiveness map. In the case of a data center, an exemplary effectiveness map may illustrate the effect that one or more computer room air conditioners (CRACs) have on themselves and on other CRACs in the data center. In the case of an office building, an exemplary effectiveness map may illustrate the effect that one or more selected variable air volume (VAV) terminal units have on their own thermostat readings and the thermostat readings of other VAV terminal units in the office building.

Method, apparatus and computer program product for detecting vulnerability and predicting maintenance in an industrial control system are described herein.

Methods and systems for configuring a modular building control system. An illustrative method may include entering a configuration mode in a base module and in each of the expansion modules. While in the configuration mode, the base module may collect information from each of the expansion modules. A system configuration may be created for the modular building control system based at least in part on the collected information and includes configuration parameters for the base module and each of the expansion modules. The base module may transmit to each of the expansion modules their respective configuration parameters. The base module and each of the expansion modules may install their respective configuration parameters, exit the configuration mode, and enter an operation mode. While in the operation mode, the base module and each of the expansion modules may control the modular building control system.

Methods and systems for configuring a modular building control system. An illustrative method may include entering a configuration mode in a base module and in each of the expansion modules. While in the configuration mode, the base module may collect information from each of the expansion modules. A system configuration may be created for the modular building control system based at least in part on the collected information and includes configuration parameters for the base module and each of the expansion modules. The base module may transmit to each of the expansion modules their respective configuration parameters. The base module and each of the expansion modules may install their respective configuration parameters, exit the configuration mode, and enter an operation mode. While in the operation mode, the base module and each of the expansion modules may control the modular building control system.