🌞 Machine Learning for Smart Solar Building Performance Analysis
As the demand for sustainable energy solutions continues to grow, photovoltaic-integrated buildings (PIBs) have emerged as an effective approach to combining renewable energy generation with modern architectural design. These buildings incorporate solar photovoltaic systems directly into building structures, enabling clean energy production while reducing dependence on conventional power sources. However, maintaining accurate performance records over long periods can be challenging due to missing, incomplete, or inconsistent data collected from monitoring systems. Machine learning-driven data reconstruction offers a powerful solution to this challenge. By utilizing advanced algorithms, researchers can identify patterns within historical datasets and accurately estimate missing information. This process enhances the quality and reliability of performance records, allowing building operators and researchers to gain deeper insights into energy generation, system efficiency, and opera...