Forecasting of Day-Ahead Wind Speed/electric Power by Using a Hybrid Machine Learning Algorithm.
Atilla AltintasLars DavidsonOla CarlsonPublished in: SESC (2022)
Keyphrases
- electric power
- wind power
- wind speed
- power plant
- electricity markets
- learning algorithm
- short term
- power generation
- long term
- load forecasting
- wind farm
- electricity consumption
- meteorological data
- market clearing
- unit commitment
- wind turbine
- soft computing
- market prices
- forecasting model
- software agents
- historical data
- decision support system
- short term prediction
- reinforcement learning
- machine learning
- rough sets
- artificial intelligence
- genetic algorithm
- neural network
- stock market
- genetic programming
- multi agent systems
- relative humidity