AI or not AI for fault prediction and climate risk assessment in solar plants: misconceptions and facts

The solar industry has been growing exponentially in recent years, with a threefold increase in capacity since 2015. The speed growth, however, is being countered by erratic climate change, lack of automation and data intelligence. The increasing underperformance of solar assets are a damper on the profits of owners, developers, and investors.

AI has helped many industries from medical to logistics and more, and AI has substantially improved the growth trajectory of companies. But what do we understand of Artificial Intelligence and how do we leverage AI in the solar industry? Companies using AI driven software solutions believe that leveraging API intelligence and analytics is a crucial step toward enabling predictive maintenance and optimizing performance within the solar industry. These technologies provide information that can predict and prevent potential issues, reduce downtime and increase efficiency.

API intelligence and analytics can derive business, technical and operational insights. Data backed by such proven technology will induce much more confidence in investors, exponential growth in new assets for the developers, peace of mind for asset management teams and speed to the maintenance teams.

In this pv magazine Webinar, we will explore how to use these new state-of-the-art technologies to improve efficiency, reduce downtime and increase overall system performance.

Luc Hossenlop CTO digitization energy BU at Schneider Electric and David Ebner, project engineer at Verbund Green Power GmbH will both share the challenges they are facing and how their use of AI tools helped in their move toward predictive analytics and de-risking of solar assets. Govinda Upadhyay, CEO and founder at SmartHelio will explain the underlying technology behind SmartHelio’s solution and offer a demonstration of the software.

pv magazine Webinar content:

• Real-world problems in the industry that we are solving, as shared by clients, including data issues, lack of standardization, late fault identification
• Monitoring versus analytics and limitations of AI algorithms
• Need for automation and predictive analytics to manage growing portfolio in climate change scenario
• Introduction to the SmartHelio solution through a platform demo and tech explanation
• Real-world examples shown in case study

Questions can be submitted beforehand in the comments window when registering or in the chat during the live webinar. Anne Fischer, senior editor at pv magazine USA, will be the moderator of this webinar.

Registration for this pv magazine Webinar is free of charge.