The Predictive Daylight Harvesting System is an intelligent lighting control system that leverages data analysis and prediction techniques to optimize the utilization of natural daylight in buildings. By integrating sensors, data processing algorithms, and lighting control infrastructure, this system accurately predicts the amount and intensity of incoming daylight and dynamically adjusts artificial lighting levels accordingly. The goal is to minimize energy consumption while maintaining optimal illumination and occupant comfort. This article highlights the key features and benefits of the Predictive Daylight Harvesting System in a concise manner. It emphasizes the system's ability to harness natural daylight effectively and reduce reliance on artificial lighting, leading to energy savings and enhanced sustainability. The article also indicates the system's focus on occupant comfort, as well as the integration of sensors and data analysis algorithms for accurate daylight prediction. This article provides a brief overview of the Predictive Daylight Harvesting System and its potential impact on energy efficiency and building performance.

Predictive daylight harvesting, Intelligent lighting control, Energy optimization