How can AI Automate and Optimise the Operation of Increasingly Complex Renewable Portfolios?

Recording of Wednesday, June 24, 2026 | The smarter E Europe Exhibition Program 2026 | Language: English | Duration: 9:49 .

AI-Driven Optimization and Performance Analysis in Renewable Energy

Gaia is an AI solution that automates operations in renewable energy portfolios, particularly in solar power and battery systems. Developed by a company in Lausanne, Switzerland, it targets asset managers and O&M providers. Gaia enhances portfolio management by analyzing performance, prioritizing issues, assigning tasks, and generating reports, leading to operational cost reductions of 5% to 10% and a six-fold return on investment over five years. Solar assets and batteries are performing effectively, resulting in positive revenue outcomes and an average time savings of four hours per day for clients, reflecting a 50% reduction in time spent. Data privacy concerns are addressed through proprietary algorithms ensuring that sensitive information remains protected while allowing AI to assist with tasks. The architecture prevents direct access to confidential data, enhancing security without sacrificing functionality. Furthermore, nearly a decade of research on solar plant performance has culminated in a platform that analyzes various factors affecting energy generation, showcasing a commitment to innovation in renewable energy management.

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Speaker

Govinda Upadhyay
CEO & Founder
SmartHelio

Talk of session: AI in Action: Powering the Intelligent Energy System

Artificial intelligence is rapidly becoming a core enabler of modern energy systems. From grid optimisation and forecasting to flexibility management and asset intelligence, AI is transforming data into real-time operational value. This session highlights practical AI applications already being deployed across grids, buildings and energy markets. Discover how AI-driven solutions are improving efficiency, resilience and decision-making across the energy value chain.

Further Talks of this session: