Optimal Day-Ahead Self-Scheduling and Operation of Prosumer Microgrids Using Hybrid Machine Learning-Based Weather and Load Forecasting.
Jamal FarajiAbbas KetabiHamed Hashemi-DezakiMiadreza Shafie-KhahJoão P. S. CatalãoPublished in: IEEE Access (2020)
Keyphrases
- short term
- load forecasting
- machine learning
- long term
- short term load forecasting
- unit commitment
- power generation
- dynamic programming
- power system
- electric power
- optimal solution
- reinforcement learning
- decision trees
- pattern recognition
- function approximation
- rbf neural network
- learning algorithm
- data mining
- multi agent
- evolutionary algorithm
- decision support system
- artificial intelligence