An Experimental Machine Learning Approach for Mid-Term Energy Demand Forecasting.
Shu-Rong YanMan-Wen TianKhalid A. AlattasArdashir MohamadzadehMohammad Hosein SabzalianAmirhosein MosaviPublished in: IEEE Access (2022)
Keyphrases
- demand forecasting
- machine learning
- mid term
- historical data
- supply chain
- pattern recognition
- learning algorithm
- artificial intelligence
- control group
- grand challenges
- long term
- decision trees
- reinforcement learning
- computational intelligence
- learning systems
- water resources
- data management
- data mining
- forecasting accuracy
- model selection
- knowledge discovery
- computer science
- decision making