Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data.
Maneesha PereraJulian de HoogKasun BandaraDamith A. SenanayakeSaman K. HalgamugePublished in: CoRR (2024)
Keyphrases
- power generation
- wind power
- weather data
- convolutional neural networks
- short term
- renewable energy
- electricity markets
- solar energy
- renewable energy sources
- unit commitment
- power system
- load forecasting
- long term
- economic dispatch
- stochastic programming
- power plant
- wind speed
- reactive power
- electric power systems
- weather prediction
- power grids
- wind turbine
- forecasting model
- historical data
- neuro fuzzy
- coarse to fine
- electrical power
- production cost
- stock market
- machine learning
- data mining