Problem Statement

How can we address the unpredictable generation of solar rooftop systems that leads to inconsistencies in power supply and grid instability?

The unpredictable generation of solar rooftop systems presents a significant challenge, leading to inconsistencies in power supply and negatively impacting grid stability. This unpredictability arises from various factors, including cloud cover and fluctuating weather conditions, compounded by the absence of real-time monitoring and control systems. Consequently, grid operators and consumers encounter difficulties in managing energy loads, resulting in increased operational costs and diminished efficiency of solar infrastructure. There is an urgent need for advanced predictive analytics and smart grid integration to address these issues. These solutions are essential to optimize energy generation from rooftop projects and enhance the reliability and performance of solar rooftop systems.

Objective

As part of this initiative, ISA is inviting startup firms and individuals to develop a cutting-edge tool for predicting solar rooftop project generation hourly and daily. Accurate predictions will optimize the utilization of solar rooftops, leading to better resource management, cost savings for consumers, and advancement toward energy goals. This tool will also assist utilities and distribution companies (Discoms) in ISA Member Countries in establishing realistic expectations for return on investment (RoI) from solar rooftop projects.