Operational Demand Forecasting In District Heating Systems Using Ensembles Of Online Machine Learning Algorithms-Reference-Cited by-同舟云学术

Operational Demand Forecasting In District Heating Systems Using Ensembles Of Online Machine Learning Algorithms

Published:2017-06 Issue: Volume:116 Page:208-216
ISSN:1876-6102
Container-title:Energy Procedia
language:en
Short-container-title:Energy Procedia

Author:

Johansson Christian,Bergkvist Markus,Geysen Davy,Somer Oscar De,Lavesson Niklas,Vanhoudt Dirk

Publisher

Elsevier BV

Reference21 articles.

1. D. Vanhoudt, B. Claessens, J. Desmedt and C. Johansson, “Status of the H2020 STORM”, in proceedings of the 15th Symposium on District Heating and Cooling, Seoul, Korea, September 4-7 2016

2. C. Johansson, On Intelligent District Heating, Doctoral Thesis, Blekinge Institute of Technology, 2014

3. S. Fredriksen and S. Werner, District Heating and Cooling, Studentlitteratur AB, Lund, 2013

4. "Short-term Heat Load Forecasting for Single Family Houses";Bacher;Energy and Buildings,2012

5. P. Giridhar (ed), Energy Management Systems, InTech, 2011

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