A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers.
Sotiris PelekisIoannis-Konstantinos SeisopoulosEvangelos SpiliotisTheodosios PountridisEvangelos KarakolisSpiros MouzakitisDimitris AskounisPublished in: CoRR (2023)
Keyphrases
- learning models
- short term
- load forecasting
- short term load forecasting
- long term
- learning algorithm
- loss function
- machine learning
- power system
- machine learning algorithms
- semi supervised learning
- learning tasks
- electric power
- classification models
- conditional random fields
- neural network
- data sets
- learning problems
- software agents
- reinforcement learning
- genetic algorithm