Intelligent forecasting of residential heating demand for the District Heating System based on the monthly overall natural gas consumption

Author:

Izadyar Nima,Ong Hwai Chyuan,Shamshirband Shahaboddin,Ghadamian Hossein,Tong Chong Wen

Funder

Ministry of Higher Education of Malaysia

The University of Malaya, Kuala Lumpur, Malaysia

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Cited by 38 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Application of forecasting strategies and techniques to natural gas consumption: A comprehensive review and comparative study;Engineering Applications of Artificial Intelligence;2024-03

2. A novel heating load forecasting method based on information entropy attention mechanism;Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023);2023-10-10

3. Federated deep contrastive learning for mid-term natural gas demand forecasting;Applied Energy;2023-10

4. A Novel Intelligent Forecasting Framework for Quarterly or Monthly Energy Consumption;IEEE Transactions on Industrial Informatics;2023

5. Short-term Gas Load Prediction with STL and Hybrid Neural Network;2022 China Automation Congress (CAC);2022-11-25

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