Building system with probabilistic forecasting using a recurrent neural network sequence to sequence model
US11531919B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 23, 2019 |
| Grant date | Dec 20, 2022 |
| Priority date | — |
| Expiry date | Mar 28, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S40/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A building system for building data point prediction, the building system comprising one or more memory devices configured to store instructions, that, when executed by one or more processors, cause the one or more processors to receive first building data for a building data point of a building and generate training data, the training data comprising a probability distribution sequence comprising a first probability distribution for the building data point. The instructions cause the one or more processors to train a prediction model based on the training data, receive second building data for the building data point, and predict, for one or more time-steps into the future, one or more second probability distributions with the second building data based on the prediction model, each of the one or more second probability distributions being a probability distribution for the building data point at one of the one or more time-steps.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.