Forecasting of short-term PV production in energy communities through Machine Learning and Deep Learning algorithms.
Nikos DimitropoulosNikolaos SofiasPanagiotis KapsalisZoi MylonaVangelis MarinakisNiccolo PrimoHaris Ch. DoukasPublished in: IISA (2021)
Keyphrases
- short term
- machine learning
- learning algorithm
- long term
- machine learning algorithms
- power generation
- learning problems
- deep architectures
- learning tasks
- forecasting model
- deep learning
- active learning
- supervised learning
- short term and long term
- load forecasting
- medium term
- stock market
- short and long term
- energy consumption
- reinforcement learning
- electric load forecasting
- learning rate
- long term memory
- production planning
- computational intelligence
- training data
- motion prediction
- decision trees
- wind speed
- generalization ability
- wind power
- fuzzy logic
- chaotic time series
- expert systems
- arima model
- neural network