Weather pattern based electrical demand forecasting for a building

    公开(公告)号:US10068298B2

    公开(公告)日:2018-09-04

    申请号:US14882480

    申请日:2015-10-14

    IPC分类号: G05D3/12 G06Q50/06 G05B15/02

    摘要: Embodiments include methods and systems for forecasting electrical demand of a building. Aspects include receiving a weather forecast for an upcoming day and receiving a historical data file comprising historical weather data and historical electrical load data for the building for a plurality of previous days. Aspects also include comparing the historical weather data for each of the plurality of previous days to the forecast and calculating a baseline electrical consumption of the building for the upcoming day based on the comparison.

    BIAS DETECTION AND EXPLAINABILITY OF DEEP LEARNING MODELS

    公开(公告)号:US20220383167A1

    公开(公告)日:2022-12-01

    申请号:US17786314

    申请日:2020-08-28

    IPC分类号: G06N7/00 G06N3/063

    摘要: System and method for latent bias detection by artificial intelligence modeling of human decision making using time series prediction data and events data of survey participants along with personal characteristics data for the participants. A deep Bayesian model solves for a bias distribution that fits a modeled prediction distribution of time series event data and personal characteristics data to a prediction probability distribution derived by a recurrent neural network. Sets of group bias clusters are evaluated for key features of related personal characteristics. Causal graphs are defined from dependency graphs of the key features. Bias explainability is inferred by perturbation in the deep Bayesian model of a subset of features from the causal graph, determining which causal relationships are most sensitive to alter group membership of participants.

    WEATHER PATTERN BASED ELECTRICAL DEMAND FORECASTING FOR A BUILDING
    3.
    发明申请
    WEATHER PATTERN BASED ELECTRICAL DEMAND FORECASTING FOR A BUILDING 审中-公开
    基于天气图案的电力需求预测建筑

    公开(公告)号:US20160246272A1

    公开(公告)日:2016-08-25

    申请号:US14882480

    申请日:2015-10-14

    IPC分类号: G05B19/048

    CPC分类号: G06Q50/06 G05B15/02

    摘要: Embodiments include methods and systems for forecasting electrical demand of a building. Aspects include receiving a weather forecast for an upcoming day and receiving a historical data file comprising historical weather data and historical electrical load data for the building for a plurality of previous days. Aspects also include comparing the historical weather data for each of the plurality of previous days to the forecast and calculating a baseline electrical consumption of the building for the upcoming day based on the comparison.

    摘要翻译: 实施例包括用于预测建筑物的电力需求的方法和系统。 方面包括接收即将到来的一天的天气预报,并接收包括多个前几天的建筑物的历史天气数据和历史电力负载数据的历史数据文件。 方面还包括将多个前几天中的每一天的历史天气数据与预测进行比较,并且基于该比较来计算即将到来的一天的建筑物的基准电力消耗。

    DECENTRALIZED PLANNING, SCHEDULING AND CONTROL OF MULTI-AGENT FLOW CONTROL SYSTEM

    公开(公告)号:US20200166902A1

    公开(公告)日:2020-05-28

    申请号:US16630275

    申请日:2018-04-03

    摘要: Systems and methods are provided for generating a flow control plan for a plurality of components in a flow control system. A decentralized multi-agent control framework is used to plan and schedule for each agent independently without a central processor. Each agent of the multi-agent control framework separately optimizes a local portion of the system as a function of values for one or more parameters. Agents communicate with other connected agents, sharing values for parameters. The communication provides a negotiation and consensus for values of the shared parameters that are used by the agent to recalculate optimized parameters values for the local portion of the system.

    WEB-BASED DIGITAL THREAD DRIVEN SUSTAINABLE MANUFACTURING VIA DIGITALLY-INTEGRATED, MULTI-LIFECYCLE PRODUCT DEVELOPMENT

    公开(公告)号:US20220036273A1

    公开(公告)日:2022-02-03

    申请号:US17414074

    申请日:2020-01-06

    IPC分类号: G06Q10/06 G06Q10/10 G06Q50/04

    摘要: A system and a method that enable a digital thread-driven sustainability design wherein a Digital Thread (DT) is proposed as a distributed enterprise software platform that is designed for managing lifecycle sustainability data of a product throughout its lifecycle. A digitally integrated total lifecycle product design using a Digital Thread model is provided that enables one to perform predictive computational modeling for multi-lifecycle product design. The Digital Thread enables a set of predictive computational modeling tools for total lifecycle product design optimization, simulation and uncertainty and risk analysis integrated to access data through the Digital Thread. A systematic approach for development and analysis of a lifecycle sustainability model of a designed product is provided. Also, a central repository concept or a single point of access to the lifecycle sustainability data is provided.

    Building energy split calculation and visualization

    公开(公告)号:US10719895B2

    公开(公告)日:2020-07-21

    申请号:US16503941

    申请日:2019-07-05

    摘要: A computer-implemented method of splitting whole building energy consumption includes collecting sensor data from a plurality Variable Air Volume (VAV) boxes in a building, an electric meter in the building, and a gas meter in the building. The total heating energy consumption is split across a plurality of zones within the building using the sensor data, thereby yielding heating energy consumption for each zone. The total cooling energy consumption is split across the plurality of zones using the sensor data, thereby yielding cooling energy consumption for each zone and the total ventilation energy consumption is split across the plurality of zones using the sensor data, thereby yielding ventilation energy consumption for each zone. Zone energy consumption by aggregating the heating energy consumption for the zone, the cooling energy consumption for the zone, and the ventilation energy consumption for the zone.

    SYSTEM AND METHOD TO AUTOMATICALLY GENERATE AND OPTIMIZE RECYCLING PROCESS PLANS FOR INTEGRATION INTO A MANUFACTURING DESIGN PROCESS

    公开(公告)号:US20230367928A1

    公开(公告)日:2023-11-16

    申请号:US18043915

    申请日:2021-08-31

    IPC分类号: G06F30/20

    CPC分类号: G06F30/20 G06F2119/20

    摘要: System and method optimize recyclability of an electronic device during manufacturing design A manufacturing design software produces engineering bill of materials, manufacturing bill of materials, and bill of process for the manufacturing design. Recycling process plan engine constructs a recycling process plan for the electronic device according to the manufacturing design. A virtual model of recycling processes is constructed by mapping needed skills to corresponding recycling equipment using a library of recycling equipment information. Recycling process plan engine uses the virtual model to simulate the recycling plan and optimizes each recycling process, and the overall sequence of recycling processes, according to an objective function. Evaluator module receives key performance indicator values from a virtual model simulation and calculates the value of the objective function based on key performance indicators. Recycling plan is optimized by iteration of simulating the process and varying parameters to most improve the objective function.