Kristina Brester
Researcher
Researcher at the Department of Environmental and Biological Sciences. Automated design of mathem...
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Weather-Based Prediction of Power Consumption in District Heating Network: Case Study in Finland
Vakhnin, Aleksei; Ryzhikov, Ivan; Brester, Christina; Niska, Harri; Kolehmainen, Mikko. 2024. Energies. 17: A1 Journal article (refereed), original research -
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 A4 Conference proceedings -
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 A4 Conference proceedings -
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 A1 Journal article (refereed), original research -
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 A1 Journal article (refereed), original research -
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 A1 Journal article (refereed), original research -
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 A1 Journal article (refereed), original research -
Evolutionary machine learning in epidemiological predictive modeling: examples from the Kuopio Ischemic Heart Disease Risk Factor Study
Brester, Christina. 2022. Publications of the University of Eastern Finland. Dissertations in Forestry and Natural Sciences G5 Doctoral dissertation (article) -
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 A1 Journal article (refereed), original research -
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. A4 Conference proceedings