A Non-Invasive stacked ensemble framework with shadow correction for Cost-Effective daylight illuminance prediction in buildings

Key Points

• Cost-effective daylight illuminance prediction improves design quality, enhancing light efficiency.
• The stacked ensemble framework incorporates shadow correction for better predictive accuracy in lighting.
• Analysis focuses on multiple building environments, tested across various conditions for validity.
• Highlights the need for innovative daylight modeling methods to optimize energy consumption.