Methods and systems for identifying and correcting abnormal electrical activity about a structure are provided. An electricity monitoring device may monitor electrical activity including transmission of electricity via an electrical distribution board to devices about the structure. Electrical activity may be correlated with respective electrical devices to build an electrical profile indicative of the structure's electricity usage. Based on the electrical profile, abnormal electrical activity may be identified and corrective actions may be taken to mitigate or prevent structural damage.

An underwater data center includes a data center positioned in a water environment, powered by one or more sustainable energy sources. One or more data center nodes is coupled to the data center or included in the data center. A controller is coupled to the one or more data center nodes. A housing member houses the data center node under water. A passive cooling system coupled to the data center. The passive cooling operates by at least one of convention or conduction without moving fluid in the housing. The underwater data center is coupled to a sustainable energy source that provides energy to the underwater data center. The controller is configured to redistribute excess power from the sustainable energy source to an alternate source responsive to determine that the power from the sustainable energy source is greater than an amount needed to power the system.

An underwater data center system includes a data center positioned in a water environment, powered by one or more sustainable energy sources. One or more data center nodes are coupled to the data center or included in the data center. A controller is coupled to the one or more data center nodes. A housing member houses the data center node under water. The underwater data center is coupled to a sustainable energy source that provides energy to the underwater data center. One or more cables are coupled to the one or more data center nodes or the sustainable energy source. The system includes an underwater lattice AIoT device.

An inverter with an amplitude pulse width (APW) architecture that generates a single phase AC (Alternating Current) power waveform is disclosed. The inverter generates a multi-level stepped voltage waveform, each step of the multi-level stepped waveform having a modulated width of a selected voltage. The inverter further comprises a soft fuse protection system. This disclosure also relates to a personal power plant system using said inverter and a method to generate an AC power sine wave with reduced harmonic distortion.

Embodiments implement non-intrusive load monitoring using a novel learning scheme. A trained machine learning model configured to disaggregate device energy usage from household energy usage can be stored, where the machine learning model is trained to predict energy usage for a target device from household energy usage. Household energy usage over a period of time can be received, where the household energy usage includes energy consumed by the target device and energy consumed by a plurality of other devices. Using the trained machine learning model, energy usage for the target device over the period of time can be predicted based on the received household energy usage.

Electrical equipment includes a housing and serves as power distribution equipment provided on a power supply channel. The electrical equipment further includes an execution unit and a processing unit. The execution unit controls and/or monitors an appliance to be electrically connected to the electrical equipment. The processing unit performs information processing related to the appliance. The execution unit and the processing unit are held by the housing. The execution unit controls and/or monitors the appliance based on a result of the information processing performed by the processing unit.

Provided are energy device control systems for distributed grid subsystem that control a first power demand of a plurality of appliances. The control system comprises a graphical user interface configured to accept a user input indicative of a first demand and dynamic allocation flexibility associated with the a respective energy device; a communication interface configured to aggregate dynamic allocation values from a plurality of system nodes including at least the user input indicative of a first demand and the dynamic allocation flexibility; and at least one processor programmed to: generate a learning model for evaluating dynamic future allocation with future energy execution prediction, wherein the dynamic future allocation includes at least energy operational information based on a categorization of energy usage at a plurality of respective energy devices; and trigger energy generation on the energy grid at respective generator nodes according to the learning model and dynamic projections.

A power generation system includes an extraction device configured to extract moisture from an ambient air surrounding the system, a first tank configured to store the moisture, an electrolyzer configured to receive the moisture and produce hydrogen by performing a chemical process, a second tank configured to store the hydrogen produced by the electrolyzer, a generator system configured to generate electrical power from the hydrogen, and a controller configured to control operation of the extraction device and the electrolyzer.

An electric work machine according to one aspect of the present disclosure includes a motor, a first connector, a second connector, an energizing circuit, a manual switch, and a controller. The controller outputs a first control signal to the energizing circuit to electrically connect the first connector to the motor, increases an actual rotational speed of the motor at a first rate, outputs the first control signal to the energizing circuit to electrically connect the second connector to the motor, and increases the actual rotational speed at a second rate. The second rate is less than the first rate.

A circuit for stealing power from an external system without interfering with a communication protocol may include wiring connectors configured to receive wires from the external system; a first voltage regulator to regulate a voltage on the plurality of wiring connectors at a plurality of voltage levels to encode a first multi-bit binary message according to the communication protocol to be sent to the external system; a current monitor to measure a plurality of current levels received through the plurality of wiring connectors and decode the plurality of current levels to determine a second multi-bit binary message sent from the external system according to the communication protocol; and a power converter that adjusts an amount of power stolen from the plurality of wiring connectors based at least in part on the voltage on the plurality of wiring connectors.