Rajratan Wankhade joined Koja-Chiller to test a prototype called Agentic AI-Orchestrated AutoML for Energy Load Prediction.
His main goal is to explore how this workflow can support and combine ML (machine learning) models with reinforcement learning for smarter HVAC (Heating, Ventilation, and Air Conditioning) optimization.
The first stop of the researcher exchange is company´s new factory building in Jalasjärvi where the factory utilizes renewable energy sources and a new Wave solution for building services engineering is in use.
“I expect to learn more about the company’s practical workflows, data availability, and energy-efficiency challenges, and I believe this type of research can help bridge the gap between different disciplines”, Wankhade says.
The researcher exchange is carried out in close cooperation with Turo Väliaho, Jussi Rasku and Alina Suvanto. The plan is to work towards a research publication based on the findings from the exchange, with the aim of creating both practical industrial impact and academic value.
Good luck with the work to the whole team!
More information:
Piia Sormunen
Associate Professor, Talotekniikka
Faculty of Built Environment
Tampere University
+358504766731
piia.sormunen@tuni.fi
In the Business Finland funded AI Champion Co-Innovation project, we aim to find out the design and construction challenges in Building Services and create a 100 AI Agents to solve these challenges and enhance the supply chains. Co-operators and funders in AI Champion are Tampere University, University of Oulu, Granlund, Fira, Koja Chiller, ETS NORD, Kiilto, GF BFS, Nimlas, LVI-INFO, Sähköteknisen Kaupan Liitto ry and Airlyse.