An integrated data mining approach to predict electrical energy consumption

• Main Authors: Fallahpour, Alireza, Barri, Kaveh, Wong, Kuan Yew, Jiao, Pengcheng, Alavi, Amir H.
• Format: Article
• Published: Inderscience Publishers 2021
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/96144/; http://dx.doi.org/10.1504/IJBIC.2021.114876
• Institution: Universiti Teknologi Malaysia

This study proposes an integrated adaptive neuro fuzzy inference system (ANFIS) and gene expression programming (GEP) approach to predict long-term electrical energy consumption. The developed hybrid method uses ANFIS to find parameters with maximum effect on the electricity demand. Thereafter, the...