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2020 – today
- 2021
[j5]Daniel Gutierrez-Rojas
, Aleksei Mashlakov, Christina Brester, Harri Niska, Mikko Kolehmainen, Arun Narayanan, Samuli Honkapuro, Pedro H. J. Nardelli:
Weather-Driven Predictive Control of a Battery Storage for Improved Microgrid Resilience. IEEE Access 9: 163108-163121 (2021)- 2020
- [c15]Christina Brester, Harri Niska, Robert Ciszek, Mikko Kolehmainen:
Weather-based Fault Prediction in Electricity Networks with Artificial Neural Networks. CEC 2020: 1-8
2010 – 2019
- 2019
- [c14]Pekka Koponen, Harri Niska, Antti Mutanen:
Mitigating the Weaknesses of Machine Learning in Short-Term Forecasting of Aggregated Power System Active Loads. INDIN 2019: 303-310 - 2016
- [j4]Jukka Saarenpää, Mikko Kolehmainen, Harri Niska:
Identifying socio-demographically favourable area types for early hybrid electric vehicle adoption through mining of public sector data. Intell. Data Anal. 20(2): 339-355 (2016) - [c13]Pekka Koponen, Harri Niska:
Hybrid model for short-term forecasting of loads and load control responses. ISGT Europe 2016: 1-6 - 2015
- [c12]Jukka Saarenpaa, Mikko Kolehmainen, Matti Mononen, Harri Niska:
A data mining approach for producing small area statistics-based load profiles for distribution network planning. ICIT 2015: 1236-1240 - [c11]Billy Braithwaite, Harri Niska, Irene Pöllänen, Tiia Ikonen, Keijo Haataja, Pekka J. Toivanen, Teemu Tolonen:
Optimized curve design for image analysis using localized geodesic distance transformations. Image Processing: Algorithms and Systems 2015: 939903 - [c10]Matti Mononen, Jukka Saarenpaa, Mikko Kolehmainen, Harri Niska, Antti Rautiainen:
Monetary impact of dynamic pricing and demand response on households: The winners and losers. ISGT 2015: 1-5 - [c9]Harri Niska, Pekka Koponen, Antti Mutanen:
Evolving smart meter data driven model for short-term forecasting of electric loads. ISSNIP 2015: 1-6 - 2014
- [c8]Tiia Ikonen, Harri Niska, Billy Braithwaite, Irene Pöllänen, Keijo Haataja, Pekka J. Toivanen, Teemu Tolonen, Jorma Isola:
Computer-assisted image analysis of histopathological breast cancer images using step-DTOCS. HIS 2014: 187-192 - [c7]Irene Pöllänen, Billy Braithwaite, Tiia Ikonen, Harri Niska, Keijo Haataja, Pekka J. Toivanen, Teemu Tolonen:
Computer-aided breast cancer histopathological diagnosis: Comparative analysis of three DTOCS-based features: SW-DTOCS, SW-WDTOCS and SW-3-4-DTOCS. IPTA 2014: 345-350 - [c6]Matti Mononen, Jukka Saarenpaa, Markus Johansson, Harri Niska:
Data-driven method for providing feedback to households on electricity consumption. ISSNIP 2014: 1-6 - 2013
- [c5]Harri Niska:
Extracting controllable heating loads from aggregated smart meter data using clustering and predictive modelling. ISSNIP 2013: 368-373 - 2010
- [j3]Harri Niska, Jukka-Pekka Skon, Petteri Packalen, Timo Tokola, Matti Maltamo, Mikko Kolehmainen:
Neural Networks for the Prediction of Species-Specific Plot Volumes Using Airborne Laser Scanning and Aerial Photographs. IEEE Trans. Geosci. Remote. Sens. 48(3-1): 1076-1085 (2010)
2000 – 2009
- 2009
- [c4]Fani A. Tzima, Harri Niska, Mikko Kolehmainen, Kostas D. Karatzas, Pericles A. Mitkas:
An experimental evaluation of ZCS-DM for the prediction of urban air quality. ITEE 2009: 291-304 - 2006
- [j2]Teemu Nuortio, Jari Kytöjoki, Harri Niska, Olli Bräysy:
Improved route planning and scheduling of waste collection and transport. Expert Syst. Appl. 30(2): 223-232 (2006) - [c3]Harri Niska, Mikko Heikkinen, Mikko Kolehmainen:
Genetic Algorithms and Sensitivity Analysis Applied to Select Inputs of a Multi-Layer Perceptron for the Prediction of Air Pollutant Time-Series. IDEAL 2006: 224-231 - 2004
- [j1]Harri Niska, Teri Hiltunen, Ari Karppinen, Juhani Ruuskanen, Mikko Kolehmainen:
Evolving the neural network model for forecasting air pollution time series. Eng. Appl. Artif. Intell. 17(2): 159-167 (2004) - [c2]Mikko Kolehmainen, Teri Hiltunen, Harri Niska:
Self-organizing maps and Sammon's mapping in environmental informatics and bioinformatics. EnviroInfo (1) 2004: 237-244 - 2003
- [c1]Harri Niska, Teri Hiltunen, Mikko Kolehmainen, Juhani Ruuskanen:
Hybrid Models for Forecasting Air Pollution Episodes. ICANNGA 2003: 80-84
Coauthor Index
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