Improving the accuracy of multi-step prediction of building energy consumption based on EEMD-PSO-Informer and long-time series

Author:

Li Feiyu,Wan Zhibo,Koch Thomas,Zan Guokuan,Li Mengjiao,Zheng Zhonghai,Liang Bo

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference26 articles.

1. M. Santamouris, Energy Consumption and Environmental Quality of the Building Sector, in: minimizing Energy Consumption, Energy Poverty and Global and Local Climate Change in the Built Environment: innovating to Zero, 2019.

2. REN21 Secretariat, 2020 Global Status Report for Buildings and Construction Towards a zero-emissions, efficient and resilient buildings owards a zero-emissions, efficient and resilient buildings and construction sector, 2020.

3. Advances in the research of building energy saving;Li;Energy Build,2022

4. Artificial intelligence and machine learning approaches to energy demand-side response: a systematic review;Antonopoulos;Renew Sustain Energy Rev,2020

5. Potential analysis of the transfer learning model in short and medium-term forecasting of building HVAC energy consumption;Qian;Energy,2020

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