awesome-energy-forecasting

list of papers, code, and other resources focus on energy forecasting.

Competition

Wu, C., Wang, J., Chen, X., Du, P., & Yang, W. (2020). A novel hybrid system based on multi-objective optimization for wind speed forecasting. Renewable Energy, 146, 149-165.
Sun, W., & Huang, C. (2020). A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network. Journal of Cleaner Production, 243, 118671.
Liu, Z., Jiang, P., Zhang, L., & Niu, X. (2020). A combined forecasting model for time series: Application to short-term wind speed forecasting. Applied Energy, 259, 114137.
Nam, K., Hwangbo, S., & Yoo, C. (2020). A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea. Renewable and Sustainable Energy Reviews, 122, 109725.
Somu, N., MR, G. R., & Ramamritham, K. (2020). A hybrid model for building energy consumption forecasting using long short term memory networks. Applied Energy, 261, 114131.
Aly, H. H. (2020). A novel approach for harmonic tidal currents constitutions forecasting using hybrid intelligent models based on clustering methodologies. Renewable Energy, 147, 1554-1564.

GluonTS: Forecasting toolkit which includes a number of deep learning models.
Electric Load Forecasting: Load forecasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models.
Prophet: Automatic Forecasting Procedure