A hybrid machine learning approach for the load prediction in the sustainable transition of district heating networks

Author:

Habib Mustapha,Timoudas Thomas Ohlson,Ding YiyuORCID,Nord Natasa,Chen Shuqin,Wang Qian

Funder

Norges Forskningsråd

European Commission

Energimyndigheten

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference43 articles.

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2. Directive (EU) 2018/844 of the European Parliament and of the Council of 30 May 2018 amending Directive 2010/31/EU on the energy performance of buildings and Directive 2012/27/EU on energy efficiency.

3. Directive 2012/27/EU of the European Parliament and of the Council of 25 October 2012 on energy efficiency, amending Directives 2009/125/EC and 2010/30/EU and repealing Directives 2004/8/EC and 2006/32/EC Text with EEA relevance OJ L 315, 14.11.2012, p.1-56.

4. International review of district heating and cooling”;Werner;Energy,2017

5. 4th Generation District Heating (4GDH): Integrating smart thermal grids into future sustainable energy systems”;Lund;Energy,2014

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