One-month-ahead wind speed forecasting using hybrid AI model for coastal locations

• Main Authors: Bou-Rabee, M., Lodi, K.A., Ali, M., Ansari, M.F., Tariq, M., Sulaiman, S.A.
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102811302&doi=10.1109%2fACCESS.2020.3028259&partnerID=40&md5=611115f9851a805313b87237d98ffec7; http://eprints.utp.edu.my/23379/
• Institution: Universiti Teknologi Petronas

Wind speed forecasts can boost the quality of wind energy generation by increasing the efficiency and enhancing the economic viability of this variable renewable resource. This work proposes a hybrid model for wind energy capacity for electrical power generation at coastal sites by utilizing wind-re...