Multiscale LSTM-Based Deep Learning for Very-Short-Term Photovoltaic Power Generation Forecasting in Smart City Energy Management.
Dohyun KimDohyun KwonLaihyuk ParkJoongheon KimSungrae ChoPublished in: IEEE Syst. J. (2021)
Keyphrases
- power generation
- short term
- deep learning
- energy management
- smart city
- multiscale
- long term
- wind power
- load forecasting
- power consumption
- forecasting model
- unsupervised learning
- recurrent neural networks
- energy saving
- stock market
- smart home
- machine learning
- image segmentation
- wind speed
- electric vehicles
- artificial intelligence
- management system
- arima model
- data fusion
- reinforcement learning
- computer vision