A method and system for predicting regional short-term energy power by taking weather into consideration includes: obtaining meteorological data of all moments in a set time in the future through a network; extracting respectively, from a historical database according to the obtained meteorological data, historical weather station meteorological data, historical network API meteorological data, and historical measured power generation power data within a set time period that meet meteorological conditions corresponding to all the moments; obtaining historical total error data; obtaining real-time error meteorological data; obtaining total error meteorological data; combining the obtained meteorological data of all the moments in the set time in the future with total error meteorological data of all the moments to obtain predicted meteorological data; obtaining predicted power data according to the predicted meteorological data; and optimizing an energy generation plan of a system according to the obtained predicted power data.

Disclosed techniques relate to orchestrating power consumption reductions across a number of hosts. A current value for an aggregate power threshold of a plurality of hosts may be identified. During a first time period, an aggregate power consumption of the plurality of hosts may be managed using the current value for the aggregate power threshold. A triggering event indicating a modification to the aggregate power threshold is needed may be detected. A new value for the aggregate power threshold may be determined based on the triggering event. During a second time period, the aggregate power consumption of the plurality of hosts may be managed using the new value for the aggregate power threshold.

Techniques are described for restricting the use of electricity at a service site that is restricted, such as for non-payment. A threshold value is set, indicating a maximum rate of electricity usage. The threshold value may be set based in part on an ambient temperature or to exclude the use of certain appliances, such as air conditioners. In example operation, it is determined that a consumption level at the service site exceeds the threshold value. Accordingly, electricity is turned off at the service site. After a period of time, that allows customers to turn off one or more appliances, electricity is restored to the customer's service site, and a second consumption level is determined. It is determined if the second consumption level exceeds the second threshold level. If the second consumption level exceeds the second threshold value, then the service is again shut off.

In one embodiment of a method of controlling a level of consumption of electrical power distributed by an electrical panel using a load control device, electrical power supplied through the electrical panel is consumed using electrical devices. A current level of the electrical power is detected using a power meter. The detected level is compared to a load limit corresponding to a percentage of a maximum continuous electrical load rating for the electrical panel. When the detected current level is less than the load limit, increasing electrical power consumption by one or more flexible loads of the electrical devices to increase the current level using a controller of the load control device. When the detected current level is greater than or equal to the load limit, decreasing electrical power consumption by the one or more flexible loads to decrease the current level using the controller.

Disclosed techniques relate to orchestrating power consumption reductions across a number of hosts. A current value for an aggregate power threshold of a plurality of hosts may be identified. During a first time period, an aggregate power consumption of the plurality of hosts may be managed using the current value for the aggregate power threshold. A triggering event indicating a modification to the aggregate power threshold is needed may be detected. A new value for the aggregate power threshold may be determined based on the triggering event. During a second time period, the aggregate power consumption of the plurality of hosts may be managed using the new value for the aggregate power threshold.

A modular power control system is disclosed comprising a first module comprising a power control device and one or more power outlets, the power control device configured to control the one or more power outlets, and a second module comprising a communication device communicatively coupled with the power control device and arranged to receive a communication with an instruction from an external device for controlling one or more of the power outlets of the power control device, the communication device arranged to send the instruction to the power control device; wherein the second module is selectively fixable to and releasable from the first module.

Disclosed is a monitoring apparatus (10) including a user management unit (11) that acquires, in association with each of plural users, a residual power level of a storage battery used by the user, a detection unit (12) that detects a predetermined event, and a setting unit (13) that sets, when the predetermined event is detected, the degree of urgency of need for a predetermined measure for each user based on the residual power level of the storage battery.

Provided is a system and method that can safely generate and execute an outage plan for a power grid based on severe weather-driven events. In one example, the method may include receiving predicted or current operational power system state data from a power grid and weather conditions associated with the power grid, identifying one or more nodes on the power grid to de-energize based on the operational state data and the current weather conditions, determining a sequence of instructions to perform to de-energize the one or more identified nodes based on the operational state data and the current weather conditions associated with the power grid, and generating an outage plan including mitigation steps for ensuring the stability and security of the power grid which includes the determined sequence of instructions to be executed and store the outage plan in the memory.

An electronic device including: at least one power management integrated circuit (PMIC) configured to convert energy generated by at least one component of the electronic device into electrical energy; a memory storing at least one instruction; and at least one processor electrically connected to the memory and configured to execute the at least one instruction, where the at least one processor is configured to: determine an operation state of the at least one component; determine whether to drive at least one corresponding PMIC, based on the operation state; and drive the at least one corresponding PMIC based on the determination of whether to drive the at least one PMIC.

A load control environment may be controlled by adjusting load control devices, such as a lighting intensity level, a level of the covering material for a motorized window treatment, and/or a temperature level to reduce and/or optimize the consumption of power. The optimization of power may include reducing the total cost and consumption of power, while maintaining a target or minimum level of comfort for occupants and/or a net monetary gain. The optimization of power consumption may be performed by adaptively controlling the load control devices to reduce the total power consumption of the load control environment, while maintaining a minimum level for comfort metrics indicating a level of occupant comfort and/or the net monetary gain associated with the comfort metrics.