Transaction-enabled systems and methods for royalty apportionment and stacking are disclosed. An example system may include a plurality of royalty generating elements (a royalty stack) each related to a corresponding one or more of a plurality of intellectual property (IP) assets (an aggregate stack of IP). The system may further include a royalty apportionment wrapper to interpret IP licensing terms and apportion royalties to a plurality of owning entities corresponding to the aggregate stack of IP in response to the IP licensing terms and a smart contract wrapper. The smart contract wrapper is configured to access a distributed ledger, interpret an IP description value and IP addition request, to add an IP asset to the aggregate stack of IP, and to adjust the royalty stack.

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

The present disclosure describes transaction-enabling systems and methods. A system can include a controller and a fleet of machines, each having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement. The controller may include a resource requirement circuit to determine an amount of a resource for each of the machines to service the task requirement for each machine, a forward resource market circuit to access a forward resource market, and a resource distribution circuit to execute an aggregated transaction of the resource on the forward resource market.

A method for controlling an electrical installation at least one of an electrical energy source or an energy sink. The electrical installation is coupled to a power grid. The method includes a period of time having a start time and a duration being specified, an upward flexibility Fo, which includes a forecast maximum feed-in power increase or feed-out power decrease, and a downward flexibility Fu, which includes a forecast maximum feed-out power increase or feed-in power decrease, being set for the period of time, a selling threshold price Pv and a purchasing threshold price Pe being set for the period of time, and an electricity trading transaction being concluded for the period of time. The electricity trading transaction includes a base value, a base quantity, a base price, a date on which the electricity trading transaction is to be carried out.

An energy optimization system for a building includes a processing circuit configured to generate a user interface including an indication of one or more economic load demand response (energy) operation parameters, one or more first participation hours, and a first load reduction amount for each of the one or more first participation hours. The processing circuit is configured to receive one or more overrides of the one or more first participation hours from the user interface, generate one or more second participation hours, a second load reduction amount for each of the one or more second participation hours, and one or more second equipment loads for the one or more pieces of building equipment based on the received one or more overrides, and operate the one or more pieces of building equipment to affect an environmental condition of the building based on the one or more second equipment loads.

Methods and systems for evaluating economic viability of a proposed microgrid, including uncertain variables are disclosed. One or more candidate distributed energy resources can be selected for use within a proposed microgrid. An investment cost and an operation cost of the one or more candidate distributed energy resources can be determined. A cost of drawing power from a main power grid can be compared to a sum of the investment cost and the operation cost of the one or more candidate distributed energy resources. The proposed microgrid can be identified for installation when the sum of the investment cost and the operation cost is less than the cost of drawing power from the main power grid.

An example operation includes one or more of establishing a communication channel between a computing system associated with a plurality of available power sources and a transport comprising a rechargeable battery that is configured to power the transport, determining a value of charge power for the rechargeable battery, generating a request that identifies the value of charge power in a first field and identifies a power source in a second field from among a plurality of available power sources to source the charge power for the rechargeable battery, and transmitting the request from the transport to a computing system via the established communication channel.

An embodiment relates to a trash collection device comprising a trash receptacle with a unique identification and an opening to receive a class of trash; an identification scanner for recognizing a user; a trash item counter; a fill level sensor; a display configured to interact with the user; a compactor; a solar panel configured to charge a battery; a data communicator configured to communicate date to a cloud storage; a processor configured to generate incentive for the user; wherein the trash collection device is configured to be modular and configurable to connect with another similar trash collection device to enable to collect additional trash class and is configured to interact with each other through a common software. The device, method and system are further used to generate recycling analytics by using the stored data to provide incentives to users and to facilitate planning of downstream operations.

Disclosed are various embodiments for optimizing energy management. A quantity of renewable power that will be generated by renewable energy generation sources can be forecasted. The energy demand for a building or a cluster of buildings can be forecasted. A pricing model for buying energy from a grid can be determined. A quantity of energy to import from the grid or export to the grid can be scheduled based on the quantity of renewable energy forecasted and the state of charge or health of battery energy storage system, current and future operations of building HVAC, lighting and plug loads system, the forecasted energy demand for the building, and the pricing of the energy from the grid.

An article of manufacture, a machine, process for using the articles and machines, processes for making the articles and machines, and products produced by the process of making, along with necessary intermediates, directed to assessing the energy consumption of networks, typically computer networks, and/or applications of assessments made thereby. Industrial applicability is representatively directed to energy consumption/conservation and efficiency, such as in networks, along with control and implementation therefrom, as well as in networking, control systems communications and related systems, receiver systems, and components used in assessing and carrying out the same.