57 and Grid HD EU Solar – to deliver precise, high-resolution regional weather and solar generation forecasting data at scale. Grid HD is particularly useful for energy use cases such as solar generation and residual load modelling, where hourly temporal resolution and improved local accuracy are critical for back testing, diagnostics and operational decision-making. The integration of Aurora and Planetary Computer Pro into Azure-native workflows gives BKW’s data scientists, domain experts and technology teams easy access to geospatial and atmospheric data from a shared, governed environment. In addition, BKW uses a model context protocol server built on Azure-native services to unlock insights from agentic workflows and convert them into coordinated actions for humans to review. Crucially, BKW maintains governance, domain expertise and control over how insights are applied. BKW now has a clearer understanding of how AI driven weather models can complement traditional numerical forecasting to improve decision-making across its energy and infrastructure portfolio and allow multidisciplinary teams to test and iterate ideas more quickly. Having validated the technology, BKW will now evolve the platform and embed it into its operational workflows to empower its multidisciplinary team with the insights they need to quickly and precisely forecast weather and solar generation at scale. This will enable it to deliver reliable energy services and move closer to achieving its long-term renewable energy and net-zero goals. “At BKW, our purpose is to make living spaces worth living in,” says Yamshid Farhat, lead for AI and technology at BKW. “Collaborating with Microsoft helps us translate advanced AI and data capabilities into trusted, scalable foundations for better decisions. This is how we want to use technology: not as a standalone experiment, but as an enabler for sustainable infrastructure, renewable energy growth and our path towards net zero.” Photo: BKW
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