Chandramohan, Sabarinathan (2024) Enhancing Wave Energy Conversion Efficiency through Deep Learning-Based Forecasting on Ireland’s West Coast. Masters thesis, Dublin, National College of Ireland.
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Abstract
This research aims to Enhancing the Wave Energy generation system efficiency to increase its power output and finding a new location on the west coast Ireland around Co. Sligo region to implementing the new wave energy generation plant to mitigate the energy crisis in the Republic of Ireland, in the western coast of Ireland due to the harsh North Atlantic weather creates a rough and high wave currents which is more suitable for the Wave energy generators to produce a continuous and steady electricity, this research study is divided into two phases in the phase 1 the data of test site plant of Co. Galway is collected and optimize the power output using the deep leaning-MLP, it’s been observed from the test site of Co. Galway its maximum produced power is 5MW after optimization it’s been predicted that more than 10MW energy can be produced and in the phase 2 this research aims to find a new location for laying this new optimized model, for this its uses the data from Buoy M4 and forecast the Wave height and Wave period by SARIMAX, by this the research achieve the its aims to reduce the energy crisis in Ireland.
Item Type: | Thesis (Masters) |
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Supervisors: | Name Email Menghwar, Teerath Kumar UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science D History General and Old World > DA Great Britain > Ireland Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning H Social Sciences > HC Economic History and Conditions > Natural resources > Power resources |
Divisions: | School of Computing > Master of Science in Data Analytics |
Depositing User: | Ciara O'Brien |
Date Deposited: | 14 Aug 2025 15:44 |
Last Modified: | 14 Aug 2025 15:44 |
URI: | https://norma.ncirl.ie/id/eprint/8544 |
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