Gas consumption demand forecasting with empirical wavelet transform based machine learning model: A case study
Autor: | Kadhem Al-Daffaie, Mohanad S. AL‐Musaylh, Ramendra Prasad |
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Rok vydání: | 2021 |
Předmět: |
Renewable Energy
Sustainability and the Environment Computer science business.industry Energy Engineering and Power Technology Wavelet transform Mars Exploration Program Demand forecasting Machine learning computer.software_genre Fuel Technology Nuclear Energy and Engineering Artificial intelligence Autoregressive integrated moving average Gas consumption business computer |
Zdroj: | International Journal of Energy Research. 45:15124-15138 |
ISSN: | 1099-114X 0363-907X |
DOI: | 10.1002/er.6788 |
Databáze: | OpenAIRE |
Externí odkaz: |