A Data-Driven Approach to Predict Hourly Load Profiles From Time-of-Use Electricity Bills.
Paolo LazzeroniGianmarco LorentiMaurizio RepettoPublished in: IEEE Access (2023)
Keyphrases
- load forecasting
- short term
- power system
- electric power
- long term
- data driven
- bp neural network
- rbf neural network
- power grid
- support vector regression
- user profiles
- unit commitment
- neural network
- electricity consumption
- power generation
- load balancing
- electricity markets
- stock market
- wavelet neural network
- energy consumption
- information systems
- information retrieval
- data sets