HARRI NISKA

Yhteystiedot

Avainsanat

Tutkimusryhmät - UEF

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  Työelämäyhteistyö
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  Yrittäjyys- ja innovaatiopalvelut

PROJEKTIT - UEF

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  UpTech, tulevaisuuden osaajia Itä-Suomeen

Julkaisut

• 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. CIRED - open access proceedings journal. 2021. 2021
• Gutierrez-Rojas, Daniel; Mashlakov, Aleksei; Brester, Christina; Niska, Harri; Kolehmainen, Mikko; Narayanan, Arun; Honkapuro, Samuli; Nardelli, Pedro HJ. 2021. Weather-Driven Predictive Control of a Battery Storage for Improved Microgrid Resilience IEEE access 9: 163108-163121. 2021
• Weather-based fault prediction in electricity networks with artificial neural networks. Brester, Christina; Niska, Harri; Ciszek, Robert ; Kolehmainen, Mikko / 2020 IEEE Congress on Evolutionary Computation (CEC): Conference proceedings. 2020. 2020
• Koponen, Pekka; Ikäheimo, Jussi; Koskela, Juha; Brester, Christina; Niska, Harri. 2020. Assessing and Comparing Short Term Load Forecasting Performance Energies 13 8: 2054. 2020
• 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 / CIGRE SC D2 Colloquium 2019 - Helsinki, Finland, 11- 14 Jun 2019. 2019. 2019
• Mitigating the Weaknesses of Machine Learning in Short-Term Forecasting of Aggregated Power System Active Loads. Koponen, Pekka; Niska, Harri; Mutanen, Antti / Proceedings: 2019 IEEE 17th International Conference on Industrial Informatics (INDIN). 2019. 2019
• Effects of Electric Vehicles and Heat Pumps on Long-Term Electricity Consumption Scenarios for Rural Areas in the Nordic Environment. Haakana, Juha; Haapaniemi, Jouni; Lassila, Jukka; Partanen, Jarmo; Niska, Harri; Rautiainen, Antti / 15th International Conference on the European Energy Market (EEM). 2018. 2018
• Improved modelling of electric loads for enabling demand response by applying physical and data-driven models: Project Response. Koponen, Pekka; Hanninen, Seppo; Mutanen, Antti; Koskela, Juha; Rautiainen, Antti; Jarventausta, Pertti; Niska, Harri; Kolehmainen, Mikko; Koivisto, Hannu / 2018 IEEE International Energy conference (ENERGYCON), Limassol, Cyprus, 3-7 June 2018. 2018. 2018
• Niska, Harri; Serkkola, Ari. 2018. Data analytics approach to create waste generation profiles for waste management and collection Waste Management 77: 477-485. 2018
• Koponen Pekka, Niska Harri. 2017. Hybrid model for short-term forecasting of loads and load control responses. Teoksessa: - (toim.), 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). IEEE PES Innovative Smart Grid Technologies Conference Europe 2016. s. 1-6. 2017
• Mutanen Antti, Järventausta Pertti, Niska Harri. 2016. Mining smart meter data -case Finland. Teoksessa: - (toim.), IET Conference Publications.CIRED 2016 Workshop 14-15 June 2016. Cired. 2016
• Saarenpää Jukka, Kolehmainen Mikko, Niska Harri. 2016. Identifying socio-demographically favourable area types for early hybrid electric vehicle adoption through mining of public sector data. Intelligent Data Analysis 20 2: 339-355. 2016
• Huttunen Jani, Kokkola Harri, Mielonen Tero, Mononen Mika Esa Juhani, Lipponen Antti, Reunanen Juha, Lindfors Anders Vilhelm, Mikkonen Santtu, Lehtinen Kari Erkki Juhani, Kouremeti Natalia, Bais Alkiviadis, Niska Harri, Arola Antti. 2016. Retrieval of aerosol optical depth from surface solar radiation measurements using machine learning algorithms, non-linear regression and a radiative transfer-based look-up table. ATMOSPHERIC CHEMISTRY AND PHYSICS 16: 8181-8191. 2016
• Hakalehto Elias, Heitto Anneli, Niska Harri, Suhonen Anssi, Laatikainen Reino, Heitto Lauri, Antikainen Eero, Jääskeläinen Ari. 2016. Forest Industry Hygiene Control with Reference to Waste Refinement. Teoksessa: Eino Elias Hakalehto (toim.) Microbiological Industrial Hygiene. Nova science publishers. Microbiological Hygiene. s. 151-185. 2016
• Mononen Matti, Rautiainen Antti, Saarenpää Jukka, Kolehmainen Mikko, Niska Harri. 2015. Monetary impact of dynamic pricing and demand response on households: the winners and losers. Teoksessa: 2015 IEEE Power & Energy Society (toim.), IEEE Conference Publications. IEEE. 2015
• Niska Harri, Koponen, Pekka, Mutanen, Antti. 2015. Evolving smart meter data driven model for short-term forecasting of electric loads. Teoksessa: Palaniswami, Marimuthu Swami, Tan, Hwee Pink (toim.), IEEE ISSNIP 2015 Proceedings. 2015
• Saarenpää Jukka, Kolehmainen Mikko, Mononen Matti, Niska Harri. 2015. A data mining approach for producing small area statistics-based load profiles for distribution network planning. Teoksessa: IEEE (toim.), IEEE ICIT 2015 Proceedings. IEEE. 2015
• Braithwaite Billy, Niska Harri, Pöllänen Irene, Ikonen Tiia, Haataja Keijo, Toivanen Pekka J., Tolonen Teemu. 2015. Optimized Curve Design For Image Analysis Using Localized Geodesic Distance Transformations: -, Proceedings of Conference SPIE 9399, Image Processing: Algorithms and Systems XIII. Proceedings of SPIE 9399. 9399-2. 2015
• Ikonen Tiia, Niska Harri, Braithwaite Billy, Pöllänen Irene, Haataja Keijo, Toivanen Pekka, Tolonen Teemu, Isola Jorma. 2014. Computer-assisted image analysis of histopathological breast cancer images using step-DTOCS: -, Proceedings of the 14th International Conference on Hybrid Intelligent Systems (HIS2014. International Conference on Hybrid Intelligent Systems -. 187-192. 2014
• Koponen Pekka, Mutanen Antti, Niska Harri. 2014. Assessment of Some Methods for Short-Term Load Forecasting: -, Proceedings of IEEE ISGT Europe 2014.Institute of Electrical and Electronics Engineers IEEE. 6 s. 2014
• Mononen Matti, Saarenpää Jukka, Johansson Markus, Niska Harri. 2014. Data-driven method for providing feedback to households on electricity consumption: -, Proceedings of International Conference on Intelligent Sensing and Information Processing.IEEE. -. 2014
• Pöllänen Irene, Braithwaite Billy, Ikonen Tiia, Niska Harri, Haataja Keijo, Toivanen Pekka, Tolonen Teemu. 2014. Computer-aided breast cancer histopathological diagnosis: Comparative analysis of three DTOCS-based features: SW-DTOCS, SW-WDTOCS and SW-3-4-DTOCS: -, Proceedings of 4th International Conference on Image Processing Theory, Tools, and Applications (IPTA2014).IEEE. International Conference on Image Processing Theory, Tools, and Applications (IPTA) 2014. 1-6. 2014
• Huopana Tuomas, Song Han, Kolehmainen Mikko, Niska Harri. 2013. A regional model for sustainable biogas electricity production: A case study from a Finnish province. APPLIED ENERGY 102: 676-686. 2013
• Niska Harri. 2013. Extracting controllable heating loads from aggregated smart meter data using clustering and predictive modelling: M. Palaniswami, C. Leckie, S. Kanhere, J. Gubbi, IEEE Eight International Conference on Intelligent Sensors, Sensor Networks and Information Processing. 368-373. 2013
• Niska Harri; Saarenpää Jukka; Kolehmainen Mikko. 2013. Computational approach for spatiotemporal modelling of heating loads using AMR and other external data: Pilo, F; Lama, R; Caro Moron, F. J., CIRED 2013: 22nd International Conference and Exhibition on Electricity Distribution. 23/27. 2013
• Niska Harri. 2012. Predictive data-driven modeling approaches in environmental management decision-making. Publications of the University of Eastern Finland. Dissertations in Forestry and Natural Sciences 60. 2012
• A REGIONAL MODEL FOR SUSTAINABLE BIOGAS PRODUCTION, Case study: North Savo, Finland. Tuomas Huopana, Harri Niska, Ari Jääskeläinen, Jaan Lõõnik, Emilia den Boer, Han Song, Eva Thorin. 2012 2012
• Niska H, Johansson M, Raatikainen M, Skön J-P, Saarenpää J, Kolehmainen M. 2012. Data-driven model for forecasting energy demand using continuous energy metering and other sensor data. Teoksessa: (toim.), Energy Efficiency and Behaviour Conference 2012. ss. 40. 2012
• GUIDELINE ON ACTION PLANS AND STRATEGIES TO MOBILIZE WASTE-TO-ENERGY PRODUCTION. Jaan Lõõnik, Reljo Saarepera, Maarja Käger, Thea Sogenbits, Priit Freienthal, Eva Thorin, Han Song, Bozena Guziana, Ari Jääskeläinen, Tuomo Eskelinen, Miika Kajanus, Tuomas Huopana, Harri Niska, Emilia den Boer, Jan den Boer, Ryszard Szpadt, Anna Behrendt, Dejan Vasilic, Thorsten Ahrens, Olga Anne, Arũnas Balčiũnas. 2012 2012
• DDM/CI methods and experiments in load modelling using AMR and other environmental data. Niska Harri, Saarenpää Jukka. 2011 2011
• Huopana Tuomas, Niska Harri, Kolehmainen Mikko. 2011. Regional Heat and Power Production from Biogas in the Most Potential Heat Production Areas, International Nordic Bioenergy 2011 5. - 9.9.2011 BOOK OF PROCEEDINGS. 93. 2011
• Niska Harri, Saarenpää Jukka, Räsänen Teemu, Tiirikainen Jarkko, Kolehmainen Mikko. 2011. Scenario based Electricity Load Prediction Tool for Distribution Planning and Management. Teoksessa: (toim.), Proceedings of CIRED 2011 - The 21st International Conference and Exhibition on Electricity Distribution, Frankfurt. ss. Paper 0833. 2011
• Niska H, Packalén P, Skön J-P, Tokola T, Maltamo M & Kolehmainen M. 2010. Neural networks for the prediction of species-specific stem volumes using airborne laser scanning and aerial photographs. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 48 3: 1076-1085. 2010
• Poutiainen H, Niska H, Heinonen-Tanski H & Kolehmainen M. 2010. Use of sewer on-line total solids data in wastewater treatment plant modelling. WATER SCIENCE AND TECHNOLOGY 62 4: 743-750. 2010
• Räsänen T, Voukantsis D, Niska H, Karatzas K & Kolehmainen M. 2010. Data-based method for creating electricity use load profiles using large amount of customer-specific hourly measured electricity use data APPLIED ENERGY 87 11: 3538-3545. 2010
• Voukantsis D, Niska H, Karatzas K, Riga M, Damialis A & Vokou D. 2010. Forecasting daily pollen concentrations using data-driven modeling methods in Thessaloniki, Greece ATMOSPHERIC ENVIRONMENT 44 39: 5101-5111. 2010
• Tzima FA, Niska H, Kolehmainen M, Karatzas KD, Mitkas PA. 2009. An experimental evaluation of ZCS-DM for the prediction of urban air quality: Athanasiadis IN, Mitkas PA, Rizzoli AE, Marx-Gómez J, Information Technologies in Environmental Engineering. Proceedings of the 4th International ICSC Symposium. Environmental Science and Engineering Subseries: Environmental Science. 291-304. 2009
• Räsänen T, Niska H, Hiltunen T, Tiirikainen J, Kolehmainen M. 2009. Predictive system for monitoring regional visitor attendance levels in large recreational areas JOURNAL OF ENVIRONMENTAL INFORMATICS 13 1: 45-55. 2009
• Niska H, Shurpali N, Martikainen P, Kolehmainen M. 2009. Neural networks for estimating net ecosystem CO2 exchange using incomplete eddy covariance data: Fonseca I Casas, P, Proceedings of the 18th IASTED International Conference on Applied Simulation and Modelling. 112-117. 2009
• Niska H, Tuppurainen K, Skön J-P, Mallett AK, Kolehmainen M. 2008. Characterisation of the chemical and biological properties of molecules with QSAR/QSPR and chemical grouping, and its application to a group of alkyl ethers. SAR AND QSAR IN ENVIRONMENTAL RESEARCH 19 3-4: 263-284. 2008
• Junninen H, Hyvönen S, Niska H, Laakso L, Dal Maso M, Grönholm T, Bonn B, Keronen P, Aalto P, Hiltunen V, Pohja T, Launiainen S, Hari P, Mannila H, Kulmala M. 2006. Explaining atmospheric aerosol nucleation events using data mining tools, back-trajectories and land cover characteristics, 7th International Aerosol Conference 2006. Abstract Book.AAAR. 2006
• Niska H, Heikkinen M, Kolehmainen M. 2006. Genetic algorithms and sensitivity analysis applied to select inputs of a multi-layer perceptron for the prediction of air pollutant time-series, Intelligent Data Engineering and Automated Learning. IDEAL 2006. 7th International Conference, Proceedings.Springer. Lecture Notes in Computer Science. 224-231. 2006
• Nuortio T, Kytöjoki J, Niska H, Bräysy O. 2006. Improved route planning and scheduling of waste collection and transport. EXPERT SYSTEMS WITH APPLICATIONS 30: 223-232. 2006
• Niska H, Hiltunen T, Karppinen A, Kolehmainen M. 2005. Evolutionary design and evaluation of modeling system for forecasting urban airborne maximum pollutant concentrations: Ribeiro B, Albrecht RF, Dobnikar A, Pearson DW, Steele NC, Adaptive and Natural Computing Algorithms. Proceedings of the International Conference.Springer. 181-184. 2005
• Niska H, Rantamäki M, Hiltunen T, Karppinen A, Kukkonen J, Ruuskanen J, Kolehmainen M. 2005. Evaluation of an integrated modeling system containing a multi-layer perceptron model and the numerical weather prediction model HIRLAM for the forecasting of urban airborne pollutant concentrations ATMOSPHERIC ENVIRONMENT 39: 6524-6536. 2005
• Junninen H, Niska H, Tuppurainen K, Ruuskanen J, Kolehmainen M. 2004. Methods for imputation of missing values in air quality data sets. ATMOSPHERIC ENVIRONMENT 38 18: 2895-2907. 2004
• Niska H, Hiltunen T, Karppinen A, Ruuskanen J, Kolehmainen M. 2004. Evolving the neural network model for forecasting air pollution time series ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 17 2: 159-167. 2004
• Kukkonen J, Partanen L, Karppinen A, Ruuskanen J, Junninen H, Kolehmainen M, Niska H, Dorling S, Chatterton T, Foxall R, Cawley G. 2003. Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki. ATMOSPHERIC ENVIRONMENT 37: 4539-4550. 2003
• Niska H, Hiltunen T, Kolehmainen M, Ruuskanen J. 2003. Hybrid models for forecasting air pollution episodes: David W. Pearson, Nigel C. Steele, Rudolf F. Albrech, Artificial Neural Nets and Cenetic Algorithms Proceedings of the International Conference.Springer-Verlag. 80-84. 2003
• Niska H, Kolehmainen M, Hiltunen T, Karppinen A, Ruuskanen J. 2003. Evolving the neural network model for forecasting air pollution time series. Teoksessa: A.E. Ruano (toim.), IFAC International Conference on Intelligent Control Systems and signal Processing (ICONS'03).Elsevier. ss. 310-315. 2003