A method includes obtaining data indicating an amount of energy stored by a battery of a sensor device; receiving data related to at least one condition in an area in which the sensor device is located; determining a reporting interval based on the data indicating the amount of energy stored by the battery of the sensor device and the data related to at least one condition in the area in which the sensor device is located; transmitting data indicating the reporting interval to the sensor device; and receiving a plurality of measurement reports transmitted from the sensor device according to the reporting interval. The energy consumed by the sensor device can be dynamically modified by dynamically modifying the reporting interval.

Some embodiments include electric power demand stabilization methods and systems that may include receiving an indication that a specific controllable device will have a high power draw event; retrieving a power draw profile for the specific controllable device that includes at least a maximum power draw and an event duration; identifying a plurality of low priority controllable devices with a combined power draw that is substantially equal to the maximum power draw of the specific controllable device; and turning off the plurality of low priority controllable devices for a time period substantially equal to the event duration.

The present disclosure is directed to energy storage and supply management system. The system may include one or more of a control unit, which is in communication with the power grid, and an energy storage unit that stores power for use at a later time. The system may be used with traditional utility provided power as well as locally generated solar, wind, and any other types of power generation technology. In some embodiments, the energy storage unit and the control unit are housed in the same chassis. In other embodiments, the energy storage unit and the control unit are separate. In another embodiment, the energy storage unit is integrated into the chassis of an appliance itself.

Energy and demand costs reduction method through management of an entity load using an energy storage system; simulating the entity load including using predictive analytics; or receiving user inputs of an event schedule impacting entity load; performing optimization at start of billing cycle including establishing a demand reduction target achievable with an energy storage system device implemented; setting a periodic schedule for energy storage system discharge and allocating a portion of energy storage capacity to a reserve to be used in event of volatility in entity load; determining any unused capacity of the energy storage system at an end of a period, and responsive to the determining, redistributing any unused capacity to a remaining period of the schedule; and resetting the demand reduction target for each time-of-use period to what was achieved previously for the same billing period.

Disclosed is a connection apparatus capable of supplying power supplied from a power supply module to a load. The connection apparatus includes: a connection unit connectable with the power supply module; a light emission element; and a light emission controller for controlling the light emission element, wherein the light emission controller causes, upon detection of a connection of the power supply module to the connection unit, the light emission element to emit light for a first predetermined time.

A method for performing a charging modulation between one or more charging poles, a local power system and a global power system is provided, the method comprising: receiving monitoring data from one or more measuring devices; receiving controlling data from the global power system, the local power system, a customer management system, and the one or more charging poles; identifying one or more measuring values corresponding to phases of a three-phase power system according to the monitoring data; adjusting the charge level of a target phase of a target charging electricity by determining whether the target measuring value of the target phase of the target charging electricity exceeds an allowed charging range according to one or more measuring values; and determining whether to turn the target phase of the provided target charging electricity off or on according to current charge level of the target phase.

The present disclosure is directed to energy storage and supply management system. The system may include one or more of a control unit, which is in communication with the power grid, and an energy storage unit that stores power for use at a later time. The system may be used with traditional utility provided power as well as locally generated solar, wind, and any other types of power generation technology. In some embodiments, the energy storage unit and the control unit are housed in the same chassis. In other embodiments, the energy storage unit and the control unit are separate. In another embodiment, the energy storage unit is integrated into the chassis of an appliance itself.

A process includes calculating a first predicted-power-consumption obtained by predicting a first power-consumption of a first job in a first period based on information before the first period, when an error between the first power-consumption and the first predicted-power-consumption is less than a threshold-value, at time of scheduling to allocate second jobs to calculation-nodes so that a total estimated-power-consumption in a second period after the first period of each of the second jobs including the first job allocated to the calculation-nodes is equal to or less than a predetermined first power, determining a first estimated-power-consumption of the first job in the second period, as a second predicted-power-consumption obtained by predicting a power-consumption when the first job is executed in the second period, and when the error is equal to or larger than the threshold-value, determining the first estimated-power-consumption at the time of the scheduling as a predetermined second power.

Techniques are presented for scheduling the charging of electric vehicles (EVs) that protect the resources of local low voltage distribution networks. From utilities, data on local low voltage distribution networks, such as the rating of a distribution transformer through which a group of EVs are supplied, is provided to a load manager application. Telematics information on vehicle usage is provided from the EVs, such as by way of the original equipment manufacturer. From these data, the load manager application determines schedules for charging the group of EVs through a shared low voltage distribution network so that the capabilities of the local low voltage distribution network are not exceeded while meeting the needs of the EV user. Charging schedules are then transmitted to the on-board control systems of the EVs for implementation.

The present disclosure is directed to energy storage and supply management system. The system may include one or more of a control unit, which is in communication with the power grid, and an energy storage unit that stores power for use at a later time. The system may be used with traditional utility provided power as well as locally generated solar, wind, and any other types of power generation technology. In some embodiments, the energy storage unit and the control unit are housed in the same chassis. In other embodiments, the energy storage unit and the control unit are separate. In another embodiment, the energy storage unit is integrated into the chassis of an appliance itself.