Advanced Methods of Power Load Forecasting

• अन्य लेखक: García-Díaz, J. Carlos (संपादक), Trull, Óscar (संपादक)
• स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
• भाषा: अंग्रेज़ी
• प्रकाशित: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• विषय: Research & information: general; Physics; Prophet model; Holt-Winters model; long-term forecasting; peak load; prophet model; multiple seasonality; time series; demand; load; forecast; DIMS; irregular; galvanizing; short-term electrical load forecasting; machine learning; deep learning; statistical analysis; parameters tuning; CNN; LSTM; short-term load forecast; Artificial Neural Network; deep neural network; recurrent neural network; attention; encoder decoder; online training; bidirectional long short-term memory; multi-layer stacked; neural network; short-term load forecasting; power system
• ऑनलाइन पहुंच: DOAB: download the publication; DOAB: description of the publication

This reprint introduces advanced prediction models focused on power load forecasting. Models based on artificial intelligence and more traditional approaches are shown, demonstrating the real possibilities of use to improve prediction in this field. Models of LSTM neural networks, LSTM networks with...