Matti Huotari
Postdoctoral Researcher
Postdoctoral Researcher
T410 Dept. Electrical Engineering and Automation
Matti Huotari focuses on the building energy performance and occupant well-being with the help of artificial intelligence tools and internet of things equipment. This includes indoor environment comfort and overall usability for building users, owners and maintenance personnel. Furthermore, the research aims at saving building energy for both design and operation phases.
Full researcher profile
https://research.aalto.fi/...
Contact information
Email
[email protected]
Postal address
Maarintie 8
02150 Espoo
Finland
Phone number
+358504830606
Areas of expertise
113 Computer and information sciences, Software engineering, operating systems, man-computer interaction
Research groups
- Smart Building Technologies and Services, Postdoctoral Researcher
- Smart Building Technologies and Services
Publications
Machine Learning Applications for Smart Building Energy Utilization: A Survey
Matti Huotari, Kary Främling, Avleen Malhi
2024
Archives of Computational Methods in Engineering
Event Classification with Imbalanced and Missing Data for an Air-Handling Unit
Matti Huotari, Kary Främling
2022
2022 IEEE 5th International Conference on Big Data and Artificial Intelligence (BDAI)
Machine Learning Applications for Energy Utilization of Smart Buildings
Matti Huotari
2022
Air Handling Unit Explainability using Contextual Importance and Utility
Avleen Malhi, Manik Madhikermi, Matti Huotari, Kary Främling
2022
Mobile and Ubiquitous Systems: Computing, Networking and Services
A Dynamic Battery State-of-Health Forecasting Model for Electric Trucks
Matti Huotari, Shashank Arora, Avleen Malhi, Kary Främling
2021
Energy
Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts
Matti Huotari, Shashank Arora, Avleen Malhi, Kary Främling
2021
Applied Soft Computing
Product Lifecycle Information Management with Digital Twin: A Case Study
Narges Yousefnezhad, Avleen Malhi, Tuomas Kinnunen, Matti Huotari, Kary Främling
2020
Proceedings - 2020 IEEE 18th International Conference on Industrial Informatics, INDIN 2020