Electricity load forecasting by randomized neural networks

• المؤلف الرئيسي: Gao, Ruobin
• مؤلفون آخرون: Yuen Kum Fai
• التنسيق: Thesis-Doctor of Philosophy
• اللغة: English
• منشور في: Nanyang Technological University 2022
• الموضوعات: Engineering::Electrical and electronic engineering::Electric power
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/161497
• المؤسسة: Nanyang Technological University

Recently, a hot research topic has been time series forecasting via randomized neural networks and its application in the energy system. Electricity load is a representative time series from the energy system. Forecasting the electricity load accurately benefits electric power system planning for ma...