The present invention provides a method for tracking and managing power supplying devices and a blockchain-based system to perform such tracking and monitoring. The method comprises the steps of retrieving recorded characteristic data that is associated with an existing product identification from a blockchain, verifying such recorded characteristic data, generating a new product identification that is connected to the existing product identification and recording the new product identification and new characteristic data in the blockchain. The system comprises a blockchain and a middleware computer to perform the above-mentioned steps. Also provided herein is a blockchain-based system for monitoring and renting a power supplying device.

Techniques are described herein for predicting popularity metrics and/or visitation metrics that are used in the selection of a point of interest (POI) for placement of an electric vehicle charging station (EVCS). The techniques involve training a machine learning model based on information obtained about POIs at which EVCSs are already installed. The information used to train the machine learning model includes, for each existing installation location: (a) visitation data that describes visitation features, and (b) popularity metrics and/or visitation metrics that have been generated for the location. When the machine learning model has been trained, the trained machine learning model predicts popularity metrics and/or visitation metrics for a POI location at which no EVCS has been installed based on the visitation data of that POI.

A method and system for managing electric vehicle (EV) distributed energy resource(s) (DER) are disclosed. A DER analytics engine may receive electricity consumption data of a plurality of sites from corresponding electricity meters of the plurality of sites, detect EV charging information based at least in part on the electricity consumption data, obtain EV telematics data of EVs associated with the EV charging information, reconcile the EV charging information and the EV telematics data, and generate, based on the reconciled EV charging information and the EV telematics data, models for at least one of continuous EV load prediction, electrical vehicle supply equipment (EVSE detection), and/or optimization for at least one of aggregated load, load per feeder, or maximum revenue for time-of-use tiers.

Provided are an energy distribution management method and a dynamic brokerage system for dynamic brokerage of renewable energy. An energy distribution management method provides optimal profits according to dynamic brokerage by improving utility through optimal energy distribution according to a required amount of energy of a renewable energy consumer in uncertain supply and demand for renewable energy.

Provided are an energy distribution management method and a dynamic brokerage system for dynamic brokerage of renewable energy. An energy distribution management method provides optimal profits according to dynamic brokerage by improving utility through optimal energy distribution according to a required amount of energy of a renewable energy consumer in uncertain supply and demand for renewable energy.

Methods and systems for improved creation, monitoring, and updating of energy transactions are provided. In one embodiment, a method is provided that includes receiving a request to originate a contract for an energy transaction. Transaction information concerning the energy transaction may be received and may identify a type of energy resource and parties for the energy transaction. A requirement for the energy transaction may be identified within the contract codex and at least one condition may be determined based on the requirement. An updated contract may be generated by adding the at least one condition to the contract. Information regarding the updated contract may be stored on the distributed ledger.

Methods and systems for improved creation, monitoring, and updating of energy transactions are provided. In one embodiment, a method is provided that includes receiving a request to originate a contract for an energy transaction. Transaction information concerning the energy transaction may be received and may identify a type of energy resource and parties for the energy transaction. A requirement for the energy transaction may be identified within the contract codex and at least one condition may be determined based on the requirement. An updated contract may be generated by adding the at least one condition to the contract. Information regarding the updated contract may be stored on the distributed ledger.

The present disclosure describes transaction-enabling systems and methods. A system can include a facility including a core task including a customer relevant output and a controller. The controller may include a facility description circuit to interpret a plurality of historical facility parameter values and corresponding facility outcome values and a facility prediction circuit to operate an adaptive learning system, wherein the adaptive learning system is configured to train a facility production predictor in response to the historical facility parameter values and the corresponding outcome values. The facility description circuit also interprets a plurality of present state facility parameter values, wherein the trained facility production predictor determines a customer contact indicator in response to the plurality of present state facility parameter values and a customer notification circuit provides a notification to a customer in response.

The present disclosure describes transaction-enabling systems and methods. A system can include a facility including a core task including a customer relevant output and a controller. The controller may include a facility description circuit to interpret a plurality of historical facility parameter values and corresponding facility outcome values and a facility prediction circuit to operate an adaptive learning system, wherein the adaptive learning system is configured to train a facility production predictor in response to the historical facility parameter values and the corresponding outcome values. The facility description circuit also interprets a plurality of present state facility parameter values, wherein the trained facility production predictor determines a customer contact indicator in response to the plurality of present state facility parameter values and a customer notification circuit provides a notification to a customer in response.

The present disclosure generally relates to a recreational vehicle (RV) pedestal, system, network, and mobile software application. Pedestals may integrate power sources of different power levels for different vehicle load requirements. Pedestals may combine power, electronics, communications connections, and water sources in the same device. The pedestals may be networked so that users may access a mobile application to reserve, pay for, and review pedestals and the RV park.