Machine Learning Based Integrated Feature Selection Approach for Improved Electricity Demand Forecasting in Decentralized Energy Systems.
Abinet Tesfaye EseyeMatti LehtonenToni TukiaSemen UimonenR. John MillarPublished in: IEEE Access (2019)
Keyphrases
- demand forecasting
- machine learning
- feature selection
- decision trees
- knowledge discovery
- management system
- improved algorithm
- historical data
- data mining
- long term
- forecast models
- electricity consumption
- energy consumption
- power distribution systems
- exponential smoothing
- power system
- text classification
- computational intelligence
- supply chain
- learning algorithm