data analysis

India witnessed above-average precipitation and prolonged cloud cover through July and August, limiting the potential of PV generation across many states. Several regions, including Punjab, Haryana, and the Himalayan foothills, were hit hardest by flooding and thunderstorms. The increase in atmospheric moisture and aerosol scattering led to reduced Global Horizontal Irradiation (GHI) and reduced energy output.

Modern wind turbines and solar plants generate large volumes of operational data. By leveraging analytics, inefficiencies can be identified, performance assessed in real-time, and emerging issues addressed before they escalate. A dynamic operations and maintenance (O&M) support system builds on this intelligence to provide a strong grip on performance levels while minimising downtime.

ENGIE has launched a program to collaborate with enterprise-ready startups in addressing operational and technological challenges across India’s renewable energy sector.

As global investors, consumers, and regulators demand deeper climate accountability, India’s position as a manufacturing and export hub will increasingly hinge on how credibly its businesses can measure and manage emissions. That credibility will come not from declarations, but from data.

Artificial intelligence (AI) is changing the world of solar energy as it allows plants to monitor, learn and adapt in real time. Given enormous data collected from several sensors, smart meters, drones, and even weather stations, AI systems utilize machine machine learning algorithms to optimize performance, predict problems and even detect patterns.

Marcel Suri, Chief Executive Officer of Solargis, speaks to pv magazine about the factors influencing the performance of PV plants globally and in India, and how historical datasets, coupled with advancements in computing power and data analytics, help optimise PV system design for better risk management.

Digital adoption across the renewable energy value chain reveals a stark imbalance. Operations and maintenance (O&M) has embraced digitalization most enthusiastically, with SCADA systems and IoT-enabled devices revolutionizing efficiency through real-time monitoring and resource optimization. However, engineering, procurement, and construction (EPC) processes remain surprisingly under-digitized despite their critical importance.

Artificial intelligence (AI) and Data Analytics are transforming energy operations by introducing capabilities that were once unimaginable. These technologies provide actionable insights, automate processes, and enable real-time decision-making, making energy systems smarter and more resilient.

Hitachi Energy’s Nostradamus AI solution enables users to make better decisions by quickly generating accurate forecasts for solar and wind generation, market pricing, load, and more.

SmartHelio’s solar analytical tool leverages socio-economic and climate data to deliver high accuracy in predictive analytics.