Blog
Chronos-2 Meets the Grid: Forecasting System Imbalance with a Time Series Foundation Model
Can foundation models outperform production forecasting? We benchmark Chronos-2 vs XGBoost for system imbalance in energy systems.
Energy & Utilities
Use smart meters as primary sensors to manage volatility.
The energy sector is under pressure from grid volatility, EV growth, and exploding smart meter data—but there’s a way forward. This whitepaper shows how utilities can treat smart metering as an end-to-end value chain and use AI to turn raw data into actionable intelligence for smarter grid operations and better customer service.
Get white paper.
Download the white-paper and see how AI is reshaping the energy value chain.
Smart Meter Value Chain.
Energy & Utilities
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Stay in the loop with stories from our team, success cases from our clients, and news on what we’re building behind the scenes. Whether it's a deep dive into the latest in AI, a behind-the-scenes look at a real-world implementation, or product updates we’re proud of — here’s what’s been happening lately.
BlogAI Cyber Defense: Securing Systems in the Age of Agentic AI
AI cyber defense is evolving as agentic AI accelerates cyberattacks. Learn how automated containment, SOC orchestration, and continuous validation strengthen resilience.
BlogFrom Prototype to Production: The MLOps Backbone Behind Belgian System Imbalance Forecasting
Discover the MLOps architecture behind ML6’s system imbalance forecaster. Go beyond the notebook with a deep dive into cloud-native data pipelines, automated training factories, and high-availability inference engines designed for real-time energy grid operations.