Physical and/or financial instruments may optimally hedge the cash flow of one or more renewable energy generators based on a desired risk and return profile of renewable infrastructure investors. Baseline revenues may be determined based on forward-looking electricity market price scenarios corresponding to qualified market products intended for sale from the renewable energy generators. Risk and return metrics of cash flows of the renewable energy generators may be determined. At least one physical hedge and/or financial hedge may be added. The size and operation of the renewable energy generators along with any physical hedges, or financial hedges, or both physical and financial hedges, may be optimized across multiple market price scenarios of qualified market products to optimize investor-tailored risk and return utility functions.

An upper parking meter outer housing component that includes a parking meter cap is provided. The parking meter cap includes an outer surface, an inner surface defining an interior cavity, and a lower edge portion defining an opening into the interior cavity. The lower edge portion is configured to be coupled to a lower housing component of single space meter such that a meter mechanism may be enclosed within the interior cavity of the upper meter dome. The meter cap includes a vehicle sensor coupled to the inner surface of the upper meter dome. The meter cap includes a solar panel coupled to the inner surface of the upper meter dome and configured to supply power to the vehicle sensor.

Systems and methods for charging electric vehicles and for quantitative and qualitative load balancing of electrical demand are provided.

A simulated protected loads panel system for managing energy consumption and obviating the need to install a physical protected loads panel in conjunction with an energy storage system, comprising a controller, in operable communication with electrical current and/or voltage sensors and relays, which is configured to control the amount of and/or distribution of electrical power from a source of electrical power to an electrical load based on user preference, energy storage system charge, and/or available or anticipated power generation and/or usage.

In one example of smart appliance registration, a system comprises an electric device that is configured to transmit a unique identifier upon activation, a smart meter that is configured to receive the unique identifier and to further transmit the unique identifier, and a monitoring entity configured to receive the unique identifier from the smart meter for device-specific profiling.

One embodiment of the present invention provides an energy-asset control system for utilizing an energy asset to provide one of more modes of operation services. The system includes an economic optimizer configured to identify at least one mode of operation opportunity based on current and/or future market conditions; a prognostics module configured to perform a prognostic analysis associated with the mode of operation opportunity for the energy asset using an existing model, and determine a confidence level associated with the prognostic analysis; and an operation controller. The economic optimizer is further to configured to, in response to the prognostics module determining the confidence level exceeding a predetermined threshold, determine an expected profit of the mode of operation opportunity based on outcomes of the prognostic analysis; and optimize, over a predetermined time period, a usage of the energy asset based on the expected profit of the mode of operation opportunity.

Implementations of the disclosed subject matter may provide a method of retrieving a data record including historic utility bill statements of a customer, determining a historic energy usage rate of the customer based on the retrieved data record, and determining whether the customer is eligible to subscribe to a community solar energy generating system based on geographic location of the community solar energy generating system, the determined historic energy usage rate of the customer, and the customer's geographic location. The method may determine an allocation of energy produced by the community solar energy generating system when the eligible customer is enrolled in a subscription to the community solar energy generating system. The method may generate a customer data record for the user based on credits for the allocation of energy of the community solar energy generating system and receiving energy from another energy generating system.

Systems and methods for financial settlement of transactions within an electric power grid network are disclosed. A multiplicity of active grid elements are constructed and configured for electric connection and network-based communication over a blockchain-based platform. The multiplicity of active grid elements are operable to make peer-to-peer transactions based on their participation within the electric power grid by generating and executing a digital contract. The multiplicity of active grid elements generate messages autonomously and/or automatically within a predetermined time interval. The messages comprise energy related data and settlement related data. The energy related data of the multiplicity of active grid elements are based on measurement and verification. The energy related data and the settlement related data are validated and recorded on a distributed ledger with a time stamp and a geodetic reference.

According to various aspects of the subject technology, systems and methods for qualifying solar leads are described. In certain implementations, data about utility customers and/or other information are used to identify high-quality solar leads, thus reducing the amount of extraneous work for installers and resulting in an overall reduction of the total cost of solar implementations.

Systems and methods for predicting forward market pricing for renewable energy credit based on human behavioral data are disclosed. An example transaction-enabling system may include a forward market circuit to access a forward energy credit market and a market forecasting circuit to automatically generate a forecast for a forward market price of an energy credit in the forward energy credit market where the forecast is based at least in part on a human behavior information collected from at least one human behavioral data source. The example system may further include wherein the energy credit includes a renewable energy credit associated with a renewable energy system, and a smart contract circuit to perform at least one of selling the renewable energy credit or purchasing the renewable energy credit on the forward energy credit market in response to the forecasted forward market price of the energy credit.