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.

A resource accommodation assistance system includes a plurality of information processing apparatuses each including: a storage unit configured to hold a distributed ledger storing transactions issued in accordance with events including power sale from an ordinary household to a retail electric utility, power purchase by a customer through the power sale, and commodity purchase by the ordinary household of a commodity from the customer with a payment token gained from the retail electric utility through the power sale; and an arithmetic unit configured, in the event of commodity purchase, to execute a smart contract, to carry out a transaction for payment on the commodity purchase using the payment token with a predetermined premium bearing by the customer, and to store, in the distributed ledger, the transaction subjected to a predetermined process executed together with another information processing apparatus among the information processing apparatuses.

A power supply management system according to an embodiment of the present invention includes a fee setting unit configured to set power fee unit prices (first power fee unit price and second power fee unit price for each time slot, and a notification unit configured to notify a consumer of information on the set power fee unit prices. The first power fee unit price is a power unit price for a household electrical load, and the second power fee unit price is a power unit price in a case of using a charge/discharge device to charge a vehicle-mounted storage battery. The fee setting unit is configured to set, by predicting a load factor of a transformer, a discount rate of the second power fee unit price to become higher (second power fee unit price to become lower) as the predicted load factor becomes lower. The second power fee unit price is determined on the basis of the first power fee unit price and the discount rate.

Systems and methods for market-based financial settlement of transactions within an electric power grid are disclosed. At least one active grid element is constructed and configured in Internet Protocol (IP)-based network communication with a settlement processor via at least one coordinator in real-time or in a predetermined timeframe. The at least one active grid element generates revenue grade metrology data based on measurement and verification for a participation of the at least one active grid element in the electric power grid. The at least one active grid element provides automated messaging to the settlement processor. The settlement processor provides a market-based financial settlement message based upon the revenue grade metrology data and a kilowatt packet (KWP) unit. The KWP unit provides a quantifying market rate for monetization for any unit of kilowatts with respect to time.

Methods and systems for a data marketplace in a conveyor environment includes a self-organizing data marketplace. The self-organizing data marketplace includes at least one data collector and at least one corresponding conveyor in an industrial environment, wherein the at least one data collector is structured to collect detection values from at least one sensor of a power roller of the at least one corresponding conveyor; a data storage structured to store a data pool comprising at least a portion of the detection values; a data marketplace structured to self-organize the data pool; and a transaction system structured to interpret a user data request, and to selectively provide a portion of the self-organized data pool to a user in response to the user data request.

The technical field includes machine, manufacture, process, and product produced thereby, as well as necessary intermediates, which pertain to power sources, units thereof, computer systems used to facilitate operation of one or more power sources.

Systems and methods are provided to mitigate flaring of natural gas. A natural gas processing system may process raw natural gas into a fuel gas stream that may be used to power any number of on-site power generation modules. In turn, the power generation modules may convert the fuel gas stream into an electrical output, which may be employed to power any number of distributed computing units housed within one or more mobile data centers. In certain embodiments, the distributed computing units may be adapted to mine cryptocurrency or perform other distributed computing tasks to generate revenue.

Transaction-enabling systems including a controller are disclosed. The controller can access a distributed ledger including an instruction set, tokenize the instruction set, interpret an instruction set access request, and, in response to the instruction set access request, provide a provable access to the instruction set.

An uninterruptible power supply to be connected between an AC line and a load has a battery system, an inverter, a transformer, and a controller. The battery system stores battery power. The inverter is operatively connected to the battery system. The transformer comprises a primary winding adapted to be connected to the AC line, a load winding adapted to be connected to the load, and an inverter winding operatively connected to the inverter. The controller controls the inverter to operate in a first mode in which the inverter supplies power to the battery system, a second mode in which the inverter supplies power to the load winding using battery power stored in the battery system, and a third mode in which the inverter supplies power to the primary winding using battery power stored in the battery system.

In a controller, memories store device status data indicating an operation status of an electrical device, and measurement value data indicating an actual achieved value of a power consumption amount of the electrical device. When an energy saving is requested, a projector calculates, based on the device status data and the measurement data, a first projection value for the power consumption amount of the electrical device in accordance with a first execution plan responding to the request, and a second projection value for the power consumption amount of the electrical device in accordance with a second execution plan not to respond to the request. A calculator presents a projection result to the user.