Data-driven prediction of energy consumption of district cooling systems (DCS) based on the weather forecast data-Reference-Cited by-同舟云学术

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Data-driven prediction of energy consumption of district cooling systems (DCS) based on the weather forecast data

Published:2023-03 Issue: Volume:90 Page:104382
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Zhao Xingwang,Yin Yonggao,Zhang Siyu,Xu Guoying

Publisher

Elsevier BV

Subject

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

Reference43 articles.

1. Nuclear energy for district cooling systems - novel approach and its eco-environmental assessment method;Abushamah;Energy,2022

2. Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system;Afram;Energy Building,2017

3. District cooling system via renewable energy sources: A review;Ai;Renewable and Sustainable Energy Reviews,2019

4. Energy, cost, and environmental analysis of individuals and district cooling systems for a new residential city;Alajmi;Sustainable Cities and Society,2020

5. 5th generation district heating and cooling systems: A review of existing cases in;Buffa;Europe. Renewable and Sustainable Energy Reviews,2019

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