
Harri Niska
Asiakkuuspäällikkö
Elinkeinoelämän ja yliopiston välinen yhteistyö
–Yrityskumppanuudet
–Ekosysteemi- ja sidosryhmäyhteistyö
–Koulutusyhteistyö (mm. FITech)
Kehittämispalvelut, Yliopistopalvelut
harri.niska@uef.fi | 044 265 1291
Julkaisut
53 kappaletta-
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 -
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 -
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 -
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. -
Weather-Driven Predictive Control of a Battery Storage for Improved Microgrid Resilience
Gutierrez-Rojas, Daniel; Mashlakov, Aleksei; Brester, Christina; Niska, Harri; Kolehmainen, Mikko; Narayanan, Arun; Honkapuro, Samuli; Nardelli, Pedro HJ. 2021. IEEE access. 9: 163108-163121 -
Assessing and Comparing Short Term Load Forecasting Performance
Koponen, Pekka; Ikäheimo, Jussi; Koskela, Juha; Brester, Christina; Niska, Harri. 2020. Energies. 13: 2054 -
Weather-based fault prediction in electricity networks with artificial neural networks
Brester, Christina; Niska, Harri; Ciszek, Robert ; Kolehmainen, Mikko. Teoksessa: -(toim.) , 2020. 2020 IEEE Congress on Evolutionary Computation (CEC): Conference proceedings. s. 1-8. IEEE -
Combining the strengths of different load modeling methods in short-term load forecasting of a distribution grid area with active demand
Koponen, Pekka; Niska, Harri; Mutanen, Antti. Teoksessa: -(toim.) , 2019. CIGRE SC D2 Colloquium 2019 - Helsinki, Finland, 11- 14 Jun 2019. s. 1-8. Conseil international des grands réseaux électriques -
Mitigating the Weaknesses of Machine Learning in Short-Term Forecasting of Aggregated Power System Active Loads
Koponen, Pekka; Niska, Harri; Mutanen, Antti. Teoksessa: -(toim.) , 2019. Proceedings: 2019 IEEE 17th International Conference on Industrial Informatics (INDIN). s. 303-310. IEEE -
Data analytics approach to create waste generation profiles for waste management and collection
Niska, Harri; Serkkola, Ari. 2018. Waste management. 77: 477-485