Renewables
We continue to leverage technology as a key catalyst for growth and differentiation across utility-scale renewable business. A channel partner-centric platform strengthened the end-to-end lifecycle, while deep integration with Salesforce Sales & Service, SAP, and partner applications enabled real-time visibility, faster turnaround, and operational agility. Customer-centric digital journeys, supported by Generative AI, Agentic AI, and Voice AI, further enhanced engagement, reach, and conversion.
Key initiatives
- Deployment of AI/ML-driven rooftop installation quality assurance, enabling Right First Time installations through image-based validation and real-time feedback, significantly reducing inspection timelines and improving installation quality
- Advanced sales, channel, and marketing analytics with real-time dashboards enabling visibility into revenue, operations, inventory, service trends, and campaign effectiveness, supporting faster decisions and improved productivity
- Adoption of a global solar generation loss breakdown analytics framework integrating plant telemetry, physics-based models, and AI/ML analytics to deliver standardised and high-accuracy loss insights
- Implementation of predictive maintenance across critical solar assets, along with digitised daily generation reporting and mobile-enabled field execution to enhance operational effectiveness
- Wind O&M advanced analytics enabling end-to-end performance visibility, early anomaly detection, predictive maintenance, and near-term performance simulation
- Deployment of integrated platforms such as Renewables Data Lake and unified analytics environments (RBS 2.0) for real-time monitoring of uptime, MTTR, performance losses, and operational KPIs across assets
- Advanced asset health monitoring through inverter analytics, drone-enabled inspections, and centralised monitoring platforms such as CCRA and RT-NOC, improving reliability and remote operations
- AI/ML-based solar generation forecasting models enhancing day-ahead and intraday scheduling and dispatch
- AI/ML-driven safety monitoring systems using computer vision to detect unsafe conditions and operational hazards across sites
Enabling intelligent
energy management at scale