Energy Sector (WP7)
Work Package 7 (WP7) focuses on the research and development of advanced tools for the energy sector, with a particular emphasis on applications in district heating and transmission systems. The research is based on the use of artificial intelligence methods and on the synergy of universal approaches across these sectors.
A key element is the close link to real-world application challenges, which have been identified in collaboration with leading industrial partners. The main objective of WP7 is to develop predictive software for accurately forecasting future weather conditions, the algorithms of which will be used to optimise the operation of district heating plants and to control and stabilise transmission systems.
What problem does the WP solve, and why is it important?
01
The planning of heat production and distribution is inefficient
02
The transmission system is at risk of instability and overload
03
Solutions across the energy sectors are fragmented
04
There is a gulf between academic research and practice
Examples of use / areas of application and benefits
Heating Industry
- Accurate spatiotemporal weather forecasts
- Optimisation of production and management of heating plants
Portable system
- Improving observability and enhancing the robustness of technical models
- Optimising safe and reliable operations
Key people
Participating institutions
Used technologies and procedures
- Approximate optimisation methods: Deep nRAO
- Analysis of abnormal phenomena in power tra
- WRF (The Weather Research and Forecasting Model)
- Analysis of the nature of power exchanges: Grid Node Observer
- Short-term and ultra-short-term forecasts of key meteorological parameters
- ICON (Icosahedral Non-hydrostatic Model)
Achieved and planned results
2027
A high-frequency, locally detailed weather forecast for the České Budějovice district heating network
R – software
Grid Node Observer
R – software
2029
Stochastic analysis and empirical evaluation of weather forecasts and key scenarios for the České Budějovice district heating network
R – software
Grid Consistency Checker
R – software
2031
AI and heuristic models applied to high-frequency, locally granular weather forecasting for a district heating network
R – software
Deep nRAO
R – software