A hybrid-model approach for reducing the performance gap in building energy forecasting.
Xia ChenTong GuoMartin KriegelPhilipp GeyerPublished in: CoRR (2022)
Keyphrases
- hybrid model
- forecasting accuracy
- support vector regression
- arima model
- artificial neural networks
- hybrid models
- electricity consumption
- back propagation neural network
- energy consumption
- support vector machine
- energy minimization
- energy saving
- forecast models
- data mining
- support vector
- regression model
- face recognition
- decision trees