Deep-Learning-Based Power Generation Forecasting of Thermal Energy Conversion.
Yu-Sin LuKai-Yuan LaiPublished in: Entropy (2020)
Keyphrases
- power generation
- deep learning
- wind power
- power plant
- short term
- electrical power
- load forecasting
- renewable energy
- power system
- long term
- electricity markets
- unsupervised learning
- carbon dioxide
- electric power systems
- wind turbine
- machine learning
- power grids
- electric power
- wind farm
- wind speed
- weakly supervised
- decision support system
- production cost
- mental models
- soft computing
- solar energy
- fault diagnosis
- forecasting model
- historical data
- support vector machine
- decision making
- artificial intelligence
- support vector regression