Machine Learning methods for clustering and day-ahead thermal load forecasting of an existing District Heating
Author:
Affiliation:
1. Politecnico di Milano,Department of Energy,Milano,Italy,20156
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9941347/9941375/09941387.pdf?arnumber=9941387
Reference23 articles.
1. GMM clustering for heating load patterns in-depth identification and prediction model accuracy improvement of district heating system
2. Heat loads of buildings supplied by district heating, an analysis based on measurements in 50 buildings;aronsson;CTH Department of Building Services Engineering,1996
3. Monitoring the energy consumption in a district heated apartment building in Copenhagen, with specific interest in the thermodynamic performance
4. Simple model for prediction of loads in district-heating systems
5. A New Probabilistic Ensemble Method for an Enhanced Day-Ahead PV Power Forecast
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