A study on data-driven hybrid heating load prediction methods in low-temperature district heating: An example for nursing homes in Nordic countries-Reference-Cited by-同舟云学术

A study on data-driven hybrid heating load prediction methods in low-temperature district heating: An example for nursing homes in Nordic countries

Published:2022-10 Issue: Volume:269 Page:116163
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Ding Yiyu,Timoudas Thomas Ohlson,Wang Qian,Chen Shuqin,Brattebø Helge,Nord Natasa

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference58 articles.

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4. Primary energy factor for district heating networks in European Union member states;Latõšov;Energy Proc,2017

5. IEA. Energy policies of IEA countries: Sweden 2019 Review. IEA. [accessed Dec. 09, 2021].

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