Time-variations of wave energy and forecasting power availability at a site in Fiji using time-series, regression and ANN techniques

Author:

Kumar Avikesh1,Bulivou Gabiriele1,Rafiuddin Ahmed Mohammed1ORCID,Khan Mohammad Golam M.1

Affiliation:

1. School of Information Technology, Engineering, Mathematics & Physics, The University of the South Pacific, Suva, Fiji

Funder

University of the South Pacific

Publisher

Informa UK Limited

Reference54 articles.

1. Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms

2. Al Khatib A. 2011. Developing a wind speed prediction tool using artificial neural networks and designing wind park in Syria using WASP software. Kassel university.

3. Arzu A. 2017. Forecasting wind speed of Suva (Fiji) and Abaiang (Kiribati) using artificial neural network [MSc Thesis]. The University of the South Pacific Suva Fiji.

4. MLR and ANN models of significant wave height on the west coast of India

5. Single hidden layer artificial neural network models versus multiple linear regression model in forecasting the time series of total ozone

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