Mitigating the Weaknesses of Machine Learning in Short-Term Forecasting of Aggregated Power System Active Loads.
Pekka KoponenHarri NiskaAntti MutanenPublished in: INDIN (2019)
Keyphrases
- short term
- power system
- load forecasting
- machine learning
- long term
- short term load forecasting
- power generation
- computational intelligence
- wind power
- forecasting model
- reactive power
- smart grid
- short term and long term
- long term memory
- wind speed
- artificial intelligence
- medium term
- optimal power flow
- transmission line
- stock market
- dynamic response
- electric power
- chaotic time series
- active power
- arima model
- unit commitment
- learning algorithm
- genetic algorithm