HOTSPOT DETECTION OF PHOTOVOLTAIC PANEL IN LARGE SCALE SOLAR (LSS) FARM USING CONVOLUTIONAL NEURAL NETWORK (CNN)
Renewable energy sources have become increasingly vital in the global transition towards a sustainable future. solar energy has emerged as a prominent and environmentally friendly option, with large-scale solar (LSS) farms playing a crucial role in harnessing this abundant resource.
Saved in:
主要作者: | TUAN AZMI, TUAN AMIRUL HAZIM |
---|---|
格式: | Final Year Project |
語言: | English |
出版: |
2023
|
主題: | |
在線閱讀: | http://utpedia.utp.edu.my/id/eprint/25751/1/DISS-35%20TUAN%20AMIRUL.pdf http://utpedia.utp.edu.my/id/eprint/25751/ |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Hotspot Growth Prediction for Photovoltaic Panel of Large Scale Solar Farm using Artificial Intelligence
由: Othman, Ahmad Harith
出版: (2024) -
An Adaptive Decision Tree Regression Modeling for the Output Power of Large-Scale Solar (LSS) Farm Forecasting
由: Kassim N.M., et al.
出版: (2024) -
Examining large-scale solar (LSS) photovoltaic (PV) operating utilities by using
environmental impact screening (EIS)
由: Siti Isma Hani Ismail,, et al.
出版: (2023) -
Lightning damage assessment on solar panels using in-house portable infrared thermography camera with Convolutional Neural Network (CNN) algorithm
由: Chandrasegaran, Ormiila, et al.
出版: (2024) -
Record-low prices expected for LSS5 as solar panels at their cheapest now
由: Intan Farhana Zainul, et al.
出版: (2024)