A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications
Sarawak is transitioning to green energy adoption, yet progress is hindered by a lack of comprehensive spatial data to identify optimal locations, inadequate optimization techniques for effective integration of these sites, and insufficient robust Industrial Internet of Things-based real-time monito...
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| Format: | Thesis |
| Language: | en en en |
| Published: |
Universiti Malaysia Sarawak
2025
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/48528/7/Student%20Declaration%20of%20Original%20Work_Jong%20Far%20Chen.pdf http://ir.unimas.my/id/eprint/48528/8/Thesis%20PhD_Jong%20Far%20Chen%2824pgs%29.pdf http://ir.unimas.my/id/eprint/48528/9/Thesis%20PhD_Jong%20Far%20Chen.pdf http://ir.unimas.my/id/eprint/48528/ |
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Internet
http://ir.unimas.my/id/eprint/48528/7/Student%20Declaration%20of%20Original%20Work_Jong%20Far%20Chen.pdfhttp://ir.unimas.my/id/eprint/48528/8/Thesis%20PhD_Jong%20Far%20Chen%2824pgs%29.pdf
http://ir.unimas.my/id/eprint/48528/9/Thesis%20PhD_Jong%20Far%20Chen.pdf
http://ir.unimas.my/id/eprint/48528/
