Methods and systems for HVAC inefficiency prediction
US11175061B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 5, 2018 |
| Grant date | Nov 16, 2021 |
| Priority date | — |
| Expiry date | Aug 17, 2038 |
Classification
- Technology area (CPC F)Mechanical Engineering; Lighting; Heating
- CPC primaryF24F2140/60
- WIPO fieldThermal processes and apparatus
- WIPO sectorMechanical engineering
Abstract
Systems and methods are provided for predicting inefficient HVAC operation, by obtaining first training data for HVACs in a training set of households during a first period of moderate weather; obtaining second training data for HVACs in the training set of households during a subsequent period of harsher weather; generating classification labels of the household locations of the training set according to the second training data; applying the first training data and the classification labels to train a supervised machine learning algorithm, to generate an HVAC classification model predictive of inefficiency during periods of harsher weather conditions; obtaining operational data pertaining to HVACs in an operational set of households during a second period of moderate weather; and applying the HVAC classification model to predict inefficiency of HVACs at individual households in the operational set during a second subsequent period of harsher weather.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.