Harri Niska
Zitiert von
Zitiert von
Methods for imputation of missing values in air quality data sets
H Junninen, H Niska, K Tuppurainen, J Ruuskanen, M Kolehmainen
Atmospheric Environment 38 (18), 2895-2907, 2004
Improved route planning and scheduling of waste collection and transport
T Nuortio, J Kytöjoki, H Niska, O Bräysy
Expert systems with applications 30 (2), 223-232, 2006
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
J Kukkonen, L Partanen, A Karppinen, J Ruuskanen, H Junninen, ...
Atmospheric Environment 37 (32), 4539-4550, 2003
Evolving the neural network model for forecasting air pollution time series
H Niska, T Hiltunen, A Karppinen, J Ruuskanen, M Kolehmainen
Engineering Applications of Artificial Intelligence 17 (2), 159-167, 2004
Data-based method for creating electricity use load profiles using large amount of customer-specific hourly measured electricity use data
T Räsänen, D Voukantsis, H Niska, K Karatzas, M Kolehmainen
Applied Energy 87 (11), 3538-3545, 2010
Geodemographic analysis and estimation of early plug-in hybrid electric vehicle adoption
J Saarenpää, M Kolehmainen, H Niska
Applied Energy 107, 456-464, 2013
Forecasting daily pollen concentrations using data-driven modeling methods in Thessaloniki, Greece
D Voukantsis, H Niska, K Karatzas, M Riga, A Damialis, D Vokou
Atmospheric Environment 44 (39), 5101-5111, 2010
Neural networks for the prediction of species-specific plot volumes using airborne laser scanning and aerial photographs
H Niska, JP Skon, P Packalen, T Tokola, M Maltamo, M Kolehmainen
IEEE Transactions on Geoscience and Remote Sensing 48 (3), 1076-1085, 2009
Evaluation of an integrated modelling system containing a multi-layer perceptron model and the numerical weather prediction model HIRLAM for the forecasting of urban airborne …
H Niska, M Rantamäki, T Hiltunen, A Karppinen, J Kukkonen, ...
Atmospheric Environment 39 (35), 6524-6536, 2005
Data analytics approach to create waste generation profiles for waste management and collection
H Niska, A Serkkola
Waste Management 77, 477-485, 2018
A regional model for sustainable biogas electricity production: A case study from a Finnish province
T Huopana, H Song, M Kolehmainen, H Niska
Applied energy 102, 676-686, 2013
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
J Huttunen, H Kokkola, T Mielonen, MEJ Mononen, A Lipponen, ...
Atmospheric Chemistry and Physics 16 (13), 8181-8191, 2016
Computer-aided breast cancer histopathological diagnosis: Comparative analysis of three DTOCS-based features: SW-DTOCS, SW-WDTOCS and SW-3-4-DTOCS
I Pöllänen, B Braithwaite, T Ikonen, H Niska, K Haataja, P Toivanen, ...
2014 4th International Conference on Image Processing Theory, Tools and …, 2014
Evaluating neural network models in site-specific solar PV forecasting using numerical weather prediction data and weather observations
C Brester, V Kallio-Myers, AV Lindfors, M Kolehmainen, H Niska
Renewable Energy 207, 266-274, 2023
Assessing and comparing short term load forecasting performance
P Koponen, J Ikäheimo, J Koskela, C Brester, H Niska
Energies 13 (8), 2054, 2020
Evolving smart meter data driven model for short-term forecasting of electric loads
H Niska, P Koponen, A Mutanen
2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor …, 2015
Effects of electric vehicles and heat pumps on long-term electricity consumption scenarios for rural areas in the nordic environment
J Haakana, J Haapaniemi, J Lassila, J Partanen, H Niska, A Rautiainen
2018 15th international conference on the European energy market (EEM), 1-5, 2018
Extracting controllable heating loads from aggregated smart meter data using clustering and predictive modelling
H Niska
2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor …, 2013
Assessment of some methods for short-term load forecasting
P Koponen, A Mutanen, H Niska
IEEE PES Innovative Smart Grid Technologies, Europe, 1-6, 2014
Genetic algorithms and sensitivity analysis applied to select inputs of a multi-layer perceptron for the prediction of air pollutant time-series
H Niska, M Heikkinen, M Kolehmainen
Intelligent Data Engineering and Automated Learning–IDEAL 2006: 7th …, 2006
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