Mikko Kolehmainen
Professor
Professor of environmental informatics and modeling
Department of Environmental and Biological Sciences, Faculty of Science, Forestry and Technology
mikko.kolehmainen@uef.fi | +358 44 290 2637
Publications
118 items-
A physical-neural network approach for residential load forecasting with dynamic load control
Nakabi, T; Brester, C; Kolehmainen, M; Niska, H. Teoksessa: (toim.) , 2023. 27th International Conference on Electricity Distribution (CIRED 2023). s. 1-5. Institution of engineering and technology -
Associations of altered hepatic gene expression in American lifestyle-induced obesity syndrome diet-fed mice with metabolic changes during NAFLD development and progression
Iannone, V; Lok, J; Babu, AF; Gómez-Gallego, C; Willman, RM; Koistinen, VM; Klåvus, A; Kettunen, MI; Kårlund, A; Schwab, U; Hanhineva, K; Kolehmainen, M; Nezami, H El. 2023. Journal of nutritional biochemistry. 115: -
Automated load control detection using power quality data and machine learning
Brester, C; Hildén, A; Kolehmainen, M; Pakonen, P; Niska, H. Teoksessa: (toim.) , 2023. 27th International Conference on Electricity Distribution (CIRED 2023). s. 1-5. Institution of engineering and technology -
Composition of active bacterial communities and presence of opportunistic pathogens in disinfected and non-disinfected drinking water distribution systems in Finland
Siponen, Sallamaari; Jayaprakash, Balamuralikrishna; Hokajärvi, Anna-Maria; Gomez-Alvarez, Vicente; Inkinen, Jenni; Ryzhikov, Ivan; Räsänen, Pia; Ikonen, Jenni; Pursiainen, Anna; Kauppinen, Ari; Kolehmainen, Mikko; Paananen, Jussi; Torvinen, Eila; Miettinen, Ilkka T; Pitkänen, Tarja. 2023. Water research. 2024; 248: -
Evaluating neural network models in site-specific solar PV forecasting using numerical weather prediction data and weather observations
Brester, Christina; Kallio-Myers, Viivi; Lindfors, Anders V.; Kolehmainen, Mikko; Niska, Harri. 2023. Renewable energy. 207: 266-274 -
What is the most appropriate follow-up time for detecting the epidemiological relationship between coronary artery disease and its main risk factors: novel findings from a 35-year follow-up study
Voutilainen, Ari; Brester, Christina; Kolehmainen, Mikko; Tuomainen, Tomi-Pekka. 2023. Coronary artery disease. 34: 320-331 -
Epidemiological analysis of coronary heart disease and its main risk factors: are their associations multiplicative, additive, or interactive?
Voutilainen, Ari; Brester, Christina; Kolehmainen, Mikko; Tuomainen, Tomi-Pekka. 2022. Annals of medicine. 54: 1500-1510 -
Epidemiological predictive modeling: lessons learned from the Kuopio ischemic heart disease risk factor study
Brester, Christina; Voutilainen, Ari; Tuomainen, Tomi-Pekka; Kauhanen, Jussi; Kolehmainen, Mikko. 2022. Annals of epidemiology. 70: 1-8 -
Predicting risk of cardiovascular death in the high-dimensional cohort follow-up data in the presence of competing events: a guide for building a modeling pipeline
Brester, Christina; Tuomainen, Tomi-Pekka; Voutilainen, Ari; Kauhanen, Jussi; Kolehmainen, Mikko. 2022. Biostatistics & epidemiology. [Published online: 14 Jun 2022]: 1-15 -
Aggregated forecasting of the load control responses using a hybrid model that combines a physically based model with machine learning
Koponen, Pekka; Salmi, Tuukka; Evens, Corentin; Takala, Suvi; Hyttinen, Antti; Brester, Christina; Kolehmainen, Mikko; Niska, Harri. Teoksessa: (toim.) , 2021. . s. 588-901.