A wireless power receiver that receives power from a wireless power transmitter, the wireless power receiver including a communication unit configured to communicate with the wireless power transmitter; and a main controller, wherein the main controller generates a plurality of packets including a foreign object detection (FOD) status packet, wherein the communication unit transmits the FOD status packet to the wireless power transmitter, and the communication unit receives, from the wireless power transmitter, a response signal indicating whether a foreign object is present in a charging area of the wireless power transmitter, wherein the response signal is determined using a measured peak frequency of a power signal transmitted by the wireless power transmitter and a reference peak frequency included in the FOD status packet received from the wireless power receiver, and wherein the plurality of packets further include at least one of a signal strength packet, an end power transfer packet, a power control hold-off packet, a configuration packet, an identification packet for transmitting receiver identification information, an extended identification packet, a general request packet, a special request packet, a control error packet, a renegotiation packet, a 24-bit received power packet, an eight-bit received power packet, and a charging status packet.

A method for characterizing power quality events in an electrical system includes deriving electrical measurement data for at least one first virtual meter in an electrical system from (a) electrical measurement data from or derived from energy-related signals captured by at least one first IED in the electrical system, and (b) electrical measurement data from or derived from energy-related signals captured by at least one second IED in the electrical system. In embodiments, the at least one first IED is installed at a first metering point in the electrical system, the at least one second IED is installed at a second metering point in the electrical system, and the at least one first virtual meter is derived or located at a third metering point in the electrical system. The derived electrical measurement data may be used to generate or update a dynamic tolerance curve associated with the third metering point.

A voltage management device according to the present disclosure includes a communication unit that obtains, for each of sections in a power system, a measurement value of a voltage measured by a smart meter connected to that section, where the sections are generated by segmentation between monitoring points, and a voltage estimation unit that estimates, for each of the sections, a voltage drop quantity and a voltage rise quantity in that section using the measurement value.

A system for managing a plurality of distributed energy resources associated with a structure is disclosed. The structure is at the edge of an electric utility network and receives electric power from the network and may include, for example, a house or building. The structure has distributed energy resources such as solar panels or an electric vehicle charging devices. The system comprises a monitoring unit configured to be electrically coupled to a panel assembly of the structure and a plurality of communication interfaces coupled to the monitoring unit and configured to serve as an access point for the distributed energy resources. The monitoring unit is configured to partially monitor or control functionality of a given distributed energy resource of the plurality of distributed energy resources that is utilizing the access point. The monitoring unit is configured to pass communications between the given distributed energy resource and a vendor associated with the given distributed energy resource.

A load management system integrates comparator-based neutral sensing, machine learning prediction, and relay control into a single integrated AC board requiring no additional wiring. A highspeed comparator circuit detects grid failures in sub millisecond timeframes, providing clean data to a temporal convolutional network that predicts load requirements 24 hours in advance with integration of external data sources such as weather and time of use pricing. The system automatically manages 120V and 240V circuits during grid transitions, learning from user override patterns to continuously improve performance. A mobile application provides real-time monitoring and control. The integration of low-latency sensing with predictive machine learning enables performance improvements exceeding 40% in battery runtime compared to conventional systems, while reducing installation time and cost.

An electrical power socket including: an electrical power outlet; a power input configured to supply power to the power outlet; one relay configured to control delivery of electrical power via the power outlet; a power monitor configured to monitor the operational state of the power outlet and characteristics of power drawn from the power outlet. The electrical power socket further includes a microcontroller being configurable to: capture monitored data; send the captured data via a data network interface to a remote energy monitoring system; receive data from the remote energy monitoring system; and control the one relay to manage delivery of power via a power outlet responsive to a determination that the power outlet is delivering power associated with a wasted energy usage classification.

An AI-based platform for enabling intelligent orchestration and management of at least one operating process is provided herein. The AI-based platform includes an artificial intelligence system that is configured to generate a prediction of an energy pattern associated with the at least one operating process. The AI-based platform is also configured to manage the at least one operating process based on the prediction of the energy pattern.

Systems, methods, and apparatuses for securing a communication network are provided. Transmitting a first signal including encoding a first timestamp, a first identifier, and a message authentication component. Obtaining a message signal comprising one or more service variables associated and an encrypted unique identifier. Authenticating the encrypted unique identifier based on a comparison of the encrypted unique identifier against a plurality of stored unique identifiers in a lookup table. Generating a second signal comprising an encoding of a subset of the service variables, the encrypted unique identifier, and a second timestamp. Transmitting the second signal to each remote receiver in a subset of the plurality of remote receivers.

An electric vehicle charging system is configured for performing user authorization, authentication, and billing. The electric vehicle charging system comprises an outlet assembly electrically connected to a smart plug equipped with circuitry including a communication tag. The communication reader of the outlet assembly detects the connected smart plug and pairs with its communication tag using any type of near field communication when signaled, facilitating communication. Additionally, an aggregated charging controller, in communication with a server, generates a unique identifier associated with the cable. The server, utilizing a power distribution engine, distributes power to the charger upon verifying the authenticity of the cable's identifier and confirming the pairing between the communication tag reader of the outlet assembly and the communication tag of the smart plug.

A hazardous energy control system is presented. The system includes a back-end system and a personal electronic device communicatively connected to the back-end system. The personal electronic device provides a user interface for a user to select a set of equipment from the pieces equipment at the worksite for electrical isolation from hazardous energy sources via lockout/tagout (LOTO). The back-end system is configured to dynamically the back-end system is configured to dynamically determine a LOTO procedure for electrical isolation of the set of equipment from the hazardous energy sources based on the electrical node data set indicating pieces of equipment, energy isolation devices (EIDs), and electrical connections between the pieces of equipment and EIDs on a worksite.