Harris Hawk Optimization-Based Deep Neural Networks Architecture for Optimal Bidding in the Electricity Market

• Main Authors: Kavita Jain, Muhammed Basheer Jasser, Muzaffar Hamzah, Akash Saxena, Ali Wagdy Mohamed
• Format: Article
• Language: English; English
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2022
• Subjects: QA71-90 Instruments and machines; TK1-9971 Electrical engineering. Electronics. Nuclear engineering
• Online Access: https://eprints.ums.edu.my/id/eprint/34160/1/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/34160/2/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/34160/; https://www.mdpi.com/2227-7390/10/12/2094/htm; https://doi.org/10.3390/math10122094

In the power sector, competitive strategic bidding optimization has become a major challenge. Digital plate-form provides a superior technical base as well as backing for the optimization’s execution. The state-of-the-art frameworks used for simulating strategic bidding decisions in deregulated elec...