Long-term electric energy consumption forecasting via artificial cooperative search algorithm

This publication has 42 references indexed in Scilit:

• Forecasting the natural gas demand in China using a self-adapting intelligent grey model
  Energy, 2016
• Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model
  Energy, 2016
• Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey
  Energy Policy, 2016
• Development and validation of artificial neural network models of the energy demand in the industrial sector of the United States
  Energy, 2014
• Comparison of particle swarm optimization and other metaheuristics on electricity demand estimation: A case study of Iran
  Energy, 2014
• A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings
  IEEE Communications Surveys & Tutorials, 2014
• Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression
  IEEE Transactions on Smart Grid, 2013
• Electricity demand estimation using an adaptive neuro-fuzzy network: A case study from the Ontario province – Canada
  Energy, 2013
• Electric load forecasting by support vector model
  Applied Mathematical Modelling, 2009
• An Annual Midterm Energy Forecasting Model Using Fuzzy Logic
  IEEE Transactions on Power Systems, 2009