Genetic algorithm-based non-linear auto-regressive with exogenous inputs neural network short-term and medium-term uncertainty modelling and prediction for electrical load and wind speed - Jawad, Muhammad; Ali, Sahibzada M; Khan, Bilal; Mehmood, Chaudry A; Farid, Umar; Ullah, Zahid; Usman, Saeeda; Fayyaz, Ahmad; Jadoon, Jabran; Tareen, Nauman; Basit, Abdul; Rustam, Muhammad A; et al. (Journal of engineering (Stevenage, England), 2018)
Keywords: atmospheric techniques; autoregressive processes; exogenous inputs neural network short‐term; genetic algorithms; genetic algorithm‐based nonlinear auto‐regressive; incorporating weather parameter dependencies; load forecasting; mean square error methods; medium‐term electrical load forecasting; medium‐term uncertainty modelling; modern electrical power systems; monthly wind; neural nets; power engineering computing; prediction; real‐time historical electrical load; regression analysis; Research Article; speed forecasting; state‐of‐the‐art forecasting schemes; weather forecasting; weather parameters; wind power forecasting; yearly wind; real-time historical electrical load; yearly wind; regression analysis; medium-term uncertainty modelling; autoregressive processes; incorporating weather parameter dependencies; genetic algorithms; modern electrical power systems; power engineering computing; wind power forecasting; weather parameters; exogenous inputs neural network short-term; state-of-the-art forecasting schemes; weather forecasting; medium-term electrical load forecasting; genetic algorithm-based nonlinear auto-regressive; monthly wind; atmospheric techniques; load forecasting; prediction; speed forecasting; mean square error methods; neural nets