A novel prediction model for integrated district energy system based on secondary decomposition and artificial rabbits optimization

Author:

Guo Yan,Tang Qichao,Darkwa Jo,Duan XuliangORCID,Su WeiguangORCID,Jia Mengjing,Mu JiongORCID

Publisher

Elsevier BV

Reference44 articles.

1. Short-term cooling and heating loads forecasting of building district energy system based on data-driven models;Yu;Energy Build.,2023

2. Pre-feasibility of building cooling heating and power system with thermal energy storage considering energy supply–demand mismatch;Zhang;Appl. Energy,2016

3. Operation strategy optimization of combined cooling, heating, and power systems with energy storage and renewable energy based on deep reinforcement learning;Ruan;J. Build. Eng.,2023

4. An energy consumption prediction method for hvac systems using energy storage based on time series shifting and deep learning;Liu;Energy Build.,2023

5. Uncertainties in decarbonising heat in the UK;Chaudry;Energy Policy,2015

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