We combine Deep Reinforcement Learning and advanced analytics to optimise energy systems, enabling efficiency, flexibility, and sustainability.
Learn MoreFounded by Dr Gaddafi Al Mannouny, a Smart Grid and Deep Reinforcement Learning specialist, GridNexus Analytics bridges academic innovation and real-world implementation. Our frameworks for dynamic pricing, peer-to-peer trading, and integrated demand response empower energy companies to transition toward intelligent, renewable-driven grids.
Designing intelligent agents for dynamic pricing, demand response, and grid control.
Coordinating electricity, heat, and gas networks to minimise costs and carbon footprint.
Enabling local energy markets and resilient microgrids through AI-driven coordination.
Helping utilities and communities apply DRL insights to real-world operational challenges.
Our DRL-based frameworks achieved measurable impact:
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