Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Pekka Koponen"'
Publikováno v:
Forecasting, Vol 3, Iss 2, Pp 290-302 (2021)
Accurate short-term forecasts of building energy consumption are necessary for profitable demand response. Short-term forecasting methods can be roughly classified into physics-based modelling and data-based modelling. Both of these approaches have t
Externí odkaz:
https://doaj.org/article/ee51e27f04bb43e99435a1239d4cd535
Publikováno v:
Energies, Vol 13, Iss 8, p 2054 (2020)
When identifying and comparing forecasting models, there may be a risk that poorly selected criteria could lead to wrong conclusions. Thus, it is important to know how sensitive the results are to the selection of criteria. This contribution aims to
Externí odkaz:
https://doaj.org/article/d22e75cf791b4e678a346ce8b5eacdfc
Publikováno v:
Energy Forecasting
Forecasting
Volume 3
Issue 2
Pages 19-302
Kannari, L, Kiljander, J, Piira, K, Piippo, J & Koponen, P 2021, ' Building Heat Demand Forecasting by Training a Common Machine Learning Model with Physics-Based Simulator ', Forecasting, vol. 3, no. 2, pp. 290-302 . https://doi.org/10.3390/forecast3020019
Forecasting, Vol 3, Iss 19, Pp 290-302 (2021)
Forecasting
Volume 3
Issue 2
Pages 19-302
Kannari, L, Kiljander, J, Piira, K, Piippo, J & Koponen, P 2021, ' Building Heat Demand Forecasting by Training a Common Machine Learning Model with Physics-Based Simulator ', Forecasting, vol. 3, no. 2, pp. 290-302 . https://doi.org/10.3390/forecast3020019
Forecasting, Vol 3, Iss 19, Pp 290-302 (2021)
Accurate short-term forecasts of building energy consumption are necessary for profitable demand response. Short-term forecasting methods can be roughly classified into physics-based modelling and data-based modelling. Both of these approaches have t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d208245ae7b8e8eaba334495b257deb6
https://doi.org/10.3390/forecast3020019
https://doi.org/10.3390/forecast3020019
Publikováno v:
Koponen, P, Hilden, A & Pakonen, P 2021, Measurement Data Based Time Stamp Synchronization in Power Quality Data Post Processing . in 2021 IEEE Madrid PowerTech, PowerTech 2021-Conference Proceedings . IEEE Institute of Electrical and Electronic Engineers, 2021 IEEE Madrid PowerTech, PowerTech 2021, Madrid, Spain, 28/06/21 . https://doi.org/10.1109/PowerTech46648.2021.9494909
Often the accuracy or reliability of the time stamps of power quality data coming from different measurement locations is not adequate for certain analysis tasks. This paper studies improving the accuracy and reliability of the time stamps by utilizi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::681def71798509099a35ac630d0f28b5
https://doi.org/10.1109/powertech46648.2021.9494909
https://doi.org/10.1109/powertech46648.2021.9494909
Publikováno v:
CIRED - Open Access Proceedings Journal. 2017:1907-1911
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9dcdd2ff181de31333150e91fb53a10
https://doi.org/10.1049/oap-cired.2017.0059
https://doi.org/10.1049/oap-cired.2017.0059
Autor:
Marco Rossi, Julia Merino, Carlos Madina, Elena Turienzo, Harald Svendsen, Pirkko Kuusela, Pekka Koponen
Publikováno v:
TSO-DSO Interactions and Ancillary Services in Electricity Transmission and Distribution Networks ISBN: 9783030292027
Rossi, M, Merino, J, Madina, C, Turienzo, E, Svendsen, H, Kuusela, P & Koponen, P 2019, Scenario analysis . in TSO-DSO Interactions and Ancillary Services in Electricity Transmission and Distribution Networks : Modeling, Analysis and Case-Studies . Springer, pp. 93-139 . https://doi.org/10.1007/978-3-030-29203-4_5
Rossi, M, Merino, J, Madina, C, Turienzo, E, Svendsen, H, Kuusela, P & Koponen, P 2019, Scenario analysis . in TSO-DSO Interactions and Ancillary Services in Electricity Transmission and Distribution Networks : Modeling, Analysis and Case-Studies . Springer, pp. 93-139 . https://doi.org/10.1007/978-3-030-29203-4_5
The performance of TSO-DSO coordination schemes depends on the characteristics of the electricity systems in which regulation reserves can be provided by both transmission and distribution resources. In order to investigate the main aspects influenci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0013fb39e102a2d125c0a5f3fecbf065
https://cris.vtt.fi/en/publications/17f27f42-8bb3-4817-8df7-890d3f2b5e05
https://cris.vtt.fi/en/publications/17f27f42-8bb3-4817-8df7-890d3f2b5e05
Publikováno v:
Koponen, P, Niska, H & Mutanen, A 2019, Mitigating the Weaknesses of Machine Learning in Short–Term Forecasting of Aggregated Power System Active Loads . in IEEE International Conference on Industrial Informatics (IEEE-INDIN 2019) . IEEE Institute of Electrical and Electronic Engineers, pp. 303-310, 17th IEEE International Conference on Industrial Informatics, INDIN 2019, Helsinki-Espoo, Finland, 22/07/19 . https://doi.org/10.1109/INDIN41052.2019.8972182
INDIN
INDIN
Machine learning methods predict accurately in situations that are adequately included in the learning data and do not require detailed domain knowledge based model development. They have their weaknesses compared with other forecasting methods, howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7ede922cbf515da9d25bccd74f9b102
https://cris.vtt.fi/en/publications/b95c21fe-e0ac-4909-a8b3-44f479fab595
https://cris.vtt.fi/en/publications/b95c21fe-e0ac-4909-a8b3-44f479fab595
Autor:
Mikko Kolehmainen, Antti Rautiainen, Pertti Järventausta, Hannu Koivisto, Seppo Hänninen, Pekka Koponen, Harri Niska, Juha Koskela, Antti Mutanen
Publikováno v:
Koponen, P, Hänninen, S, Niska, H, Kolehmainen, M, Mutanen, A, Rautiainen, A, Järventausta, P & Koivisto, H 2018, Improved modelling of electric loads for enabling demand response by applying physical and data-driven models : project RESPONSE . in IEEE International Energy Conference ENERGYCON 2018 : Towards Self-healing, Resilient and Green Electric Power and Energy Systems ., 19, IEEE Institute of Electrical and Electronic Engineers, IEEE International Energy Conference, ENERGYCON 2018, Limassol, Cyprus, 3/06/18 . https://doi.org/10.1109/ENERGYCON.2018.8398794
Accurate load and response forecasts are a criticalenabler for high demand response penetrations and optimizationof responses and market actions. Project RESPONSE studies anddevelops methods to improve the forecasts. Its objectives are toimprove 1) l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2324e955a123c1d5f76e30763c898964
https://doi.org/10.1109/energycon.2018.8398794
https://doi.org/10.1109/energycon.2018.8398794
Autor:
Harri Niska, Pekka Koponen
Publikováno v:
ISGT Europe
Koponen, P & Niska, H 2016, Hybrid model for short-term forecasting of loads and load control responses . in PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2016 IEEE ., 7856320, IEEE Institute of Electrical and Electronic Engineers, pp. 1-6, IEEE PES Innovative Smart Grid Technologies, Europe, Ljubljana, Slovenia, 9/10/16 . https://doi.org/10.1109/ISGTEurope.2016.7856320
Koponen, P & Niska, H 2016, Hybrid model for short-term forecasting of loads and load control responses . in PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2016 IEEE ., 7856320, IEEE Institute of Electrical and Electronic Engineers, pp. 1-6, IEEE PES Innovative Smart Grid Technologies, Europe, Ljubljana, Slovenia, 9/10/16 . https://doi.org/10.1109/ISGTEurope.2016.7856320
A hybrid model for short-term forecasting of aggregated thermal loads and their load control responses is studied in this paper using field test data. Inputs include temperature measurement and forecast, measured power and control signals. The hybrid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1c7f5ff308b9c4d936833abdcc60e81
https://doi.org/10.1109/isgteurope.2016.7856320
https://doi.org/10.1109/isgteurope.2016.7856320
Publikováno v:
Koponen, P, Pasonen, R & Löf, A 2016, Analysis of optimal dynamic price control of heat pump houses with solar power . in CIRED Workshop 2016 . IEEE Institute of Electrical and Electronic Engineers, pp. 1-4, CIRED Workshop 2016, Helsinki, Finland, 14/06/16 . https://doi.org/10.1049/cp.2016.0764
Time of use tariffs are in large scale use in Finland, but the electricity market prices do not any more follow such regular time pattern. Dynamic demand response is increasingly needed and dynamic retail tariffs are available. Heat pumps and solar p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d185322c9e43330df193073855add85
https://cris.vtt.fi/en/publications/8363c468-cf66-4e30-a28c-2d54ff3c84ef
https://cris.vtt.fi/en/publications/8363c468-cf66-4e30-a28c-2d54ff3c84ef