HIGHLIGHTS
- What: Through a thorough analysis of 19 years of satellite-based data, the application of advanced smoothing techniques, and the selection of the Damped-Trend Linear Exponential Smoothing model, this research shows the importance of leveraging historical and observed data for cost-effective predictive maintenance in solar energy systems.
- Who: Mohd Ismi Aswaly Bin Hanimi from the Kuala Kangsar, Perak, Malaysia have published the research: 1December2024 (figure caption placement), in the Journal: (JOURNAL) of 31/Dec/2023
- How: The study identified the Damped-Trend Linear model as the most effective method based on . . .
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