Case Study: renewables.AI achieves a stable, profitable solar energy market with Microsoft Azure

Energy intelligence: renewables.AI uses Azure and Apache Spark to help build a stable and profitable solar energy market

renewables.AI, a London‑based venture from Quintas Energy and Elastacloud, helps solar producers forecast generation and coordinate sales across multiple energy markets. The company addresses the core challenge that distributed, variable solar output makes it hard to predict production, integrate with grids, and sell into the highest‑value markets as subsidies decline.

renewables.AI’s ADAMA service runs on Microsoft Azure and Apache Spark (Azure Databricks, Service Fabric, Event Hubs, Data Lake, Azure SQL) to deliver real‑time forecasts and market signals at scale, processing hundreds of thousands of messages per second and hundreds of terabytes per day. The platform sped development (one engineer now supports four data scientists), improved market access and profitability, and aims to unlock significant market‑driven growth—helping clients target €100M in additional revenue (and double that in savings) while supporting a more stable solar energy future.

Renewables.AI

Declan O’Halloran

Director