How could agents coordinate energy systems?
Connect existing software, forecasts, market data and grid information through APIs, MCP servers and tool calling. Design an agent architecture for a coordinated energy decision.
Explore how AI agents could coordinate greenhouse energy resources, support human operators and respond to grid constraints.
A one-day solution-design hackathon with Wageningen University & Research and the 4TU community.
Greenhouses consume, but also generate and store energy. Combined heat and power (CHP), batteries and thermal storage offer flexibility, but coordination is an open challenge.
How to deal with changing weather and energy prices while keeping crops healthy and working within the limits of the electricity grid. During this hackathon, we'll explore where AI agents could help and how.
Connect existing software, forecasts, market data and grid information through APIs, MCP servers and tool calling. Design an agent architecture for a coordinated energy decision.
Explore how energy managers understand, supervise, approve and override agent decisions. Decide what agents can do autonomously and how people can step in when needed.
Make sure the system respects grid limits, battery capacity and crop needs, even when things change or go wrong. How can we test if it works and compare it against today’s simpler rule-based approach.
Join innovators, researchers and industry frontrunners to tackle open challenges at the intersection of Agentic AI and greenhouse energy management. Challenge assumptions, develop new concepts and discover opportunities for research and collaboration.
Bring your expertise. Coding is optional.
MSc and PhD students, researchers, industry professionals and startup teams.
Agent design, data and systems integration
Grid operation, energy markets and flexibility
Cultivation, operations and energy management
Human–AI interaction, behavioural science and systems design
Join us to develop an idea, meet experts from the field and explore what comes next for agentic AI in greenhouse energy management.