SYSTEM AND METHOD FOR FACILITATING IMPLEMENTATION OF BUILDING ENERGY CONSUMPTION REDUCTION USING DISTRIBUTED COMPUTATIONAL RESOURCES

    公开(公告)号:US20240362376A1

    公开(公告)日:2024-10-31

    申请号:US18766113

    申请日:2024-07-08

    Inventor: Thomas E. Hoff

    CPC classification number: G06F30/20 G06F17/18 G06Q10/0631 G06Q10/067 G06Q50/06

    Abstract: Improved energy conservation, including realization of a ZNET (Zero Net Energy including Transportation) paradigm, can be encouraged by providing energy consumers with a holistic view of their overall energy consumption. Current energy consumption in terms of space heating, water heating, other electricity, and personal transportation can be modeled by normalizing the respective energy consumption into the same units of energy. Options for reducing energy that can include traditional energy efficiencies, such as cutting down on and avoiding wasteful energy use and switching to energy efficient fixtures, and improving the thermal efficiency and performance of a building, can be modeled. Additional options can also include non-traditional energy efficiencies, such as replacing a gasoline-powered vehicle with an electric vehicle, fuel switching from a water heater fueled by natural gas to a heat pump water heater, and fuel switching from space heating fueled by natural gas to a heat pump space heater.

    Method for Constructing Business Management Model

    公开(公告)号:US20240338640A1

    公开(公告)日:2024-10-10

    申请号:US18359699

    申请日:2023-07-26

    Applicant: Xingyi Wen

    Inventor: Xingyi Wen

    CPC classification number: G06Q10/067

    Abstract: The present application discloses a method for constructing a business management model, wherein the participants include the method provider, the supermarket owner and the customer; the method provider provides a money-making plan to the supermarket owner, and the customer pays the membership fee to become a member of the supermarket, then the supermarket owner divides a part of the collected membership fee as a commission or discount to the method provider; the method provider gets remuneration, the supermarket owner gets capital income, and the customer enjoys discounts on supermarket products after becoming a member of the supermarket.

    Metadata driven guided rules editor

    公开(公告)号:US12106131B2

    公开(公告)日:2024-10-01

    申请号:US17993751

    申请日:2022-11-23

    CPC classification number: G06F9/453 G06F8/427 G06Q10/067

    Abstract: Implementation of a guided rules editor comprises displaying a view of a user interface (UI) of the guided rules editor to a user on the client device. Metadata of an organization to which the user belongs is fetched and used to identify which data of the organization is eligible for rule creation and attributes of the metadata are used to determine a layout of the one or more UI selection elements. One or more UI selection elements are rendered in one or more positions in the view on a display screen according to the layout and at least a portion of the one or more UI selection elements are populated with the data of the organization. Responsive to receiving user input of the one or more UI selection elements, an organization-specific rule is generated and saved to a data repository for execution by a rules engine after rule compilation.

    COMPUTER OPTIMIZED DETERMINATION OF PRODUCT AVAILABILITY

    公开(公告)号:US20240311719A1

    公开(公告)日:2024-09-19

    申请号:US18184416

    申请日:2023-03-15

    CPC classification number: G06Q10/06315 G06Q10/067 G06Q10/087 G06Q30/0202

    Abstract: Generation of an available to promise (ATP) value. A method identifies business constraints and goals for an omnichannel retailer based on input quantitative and qualitative data. The method determines numerical parameters for use in an executable optimization model and using a machine learning model. Additionally, the method builds the executable optimization model using at least one of the goals as a respective at least one objective in the optimization model, at least one of the constraints as a respective at least one constraint in the optimization model, and at least one of the numerical parameters as at least one additional parameter in the executable optimization model. In addition, the method executes the executable optimization model and generates an ATP value, and outputs the ATP value to an e-commerce system.

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