Search results
- 1.0507525 - ÚI 2021 RIV US eng J - Journal Article
Brabec, Marek - Konár, Ondřej - Kasanický, Ivan - Malý, Marek - Pelikán, Emil
Semiparametric modeling of the spatiotemporal trends in natural gas consumption: Methodology, results, and consequences.
Applied Stochastic Models in Business and Industry. Roč. 36, č. 1 (2020), s. 184-194. ISSN 1524-1904. E-ISSN 1526-4025
Institutional support: RVO:67985807
Keywords : consumption trend * energy consumption modeling * natural gas * semiparametric modeling * spatiotemporal modeling
OECD category: Statistics and probability
Impact factor: 1.338, year: 2020
Method of publishing: Limited access
http://dx.doi.org/10.1002/asmb.2474
Permanent Link: http://hdl.handle.net/11104/0298514 - 2.0439929 - ÚI 2015 RIV CZ eng J - Journal Article
Pelikán, Emil
Forecasting of Processes in Complex Systems for Real-World Problems.
Neural Network World. Roč. 24, č. 6 (2014), s. 567-589. ISSN 1210-0552
Institutional support: RVO:67985807
Keywords : complex systems * data assimilation * ensemble forecasting * forecasting * global solar radiation * judgmental forecasting * multimodel forecasting * pollution
Subject RIV: IN - Informatics, Computer Science
Impact factor: 0.479, year: 2014
Permanent Link: http://hdl.handle.net/11104/0243100 - 3.0436216 - ÚI 2015 RIV GB eng J - Journal Article
Brabec, Marek - Konár, Ondřej - Malý, Marek - Kasanický, Ivan - Pelikán, Emil
Statistical Models for Disaggregation and Reaggregation of Natural Gas Consumption Data.
Journal of Applied Statistics. Roč. 42, č. 5 (2015), s. 921-937. ISSN 0266-4763. E-ISSN 1360-0532
Institutional support: RVO:67985807
Keywords : natural gas consumption * semiparametric model * standardized load profiles * aggregation * disaggregation * 62P30
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 0.419, year: 2015
Permanent Link: http://hdl.handle.net/11104/0240061 - 4.0425548 - ÚI 2014 RIV PL eng J - Journal Article
Prokop, L. - Mišák, S. - Pelikán, Emil - Juruš, Pavel - Kasanický, Ivan
Analysis of PV system energy balance based on meteorological data.
Przeglad Elektrotechniczny. Roč. 89, č. 11 (2013), s. 27-30. ISSN 0033-2097
R&D Projects: GA MŠMT LD12009
Grant - others:GA ČR(CZ) GA102/09/1842; GA MŠk(CZ) ED2.1.00/03.0069; VŠB(CZ) sp2013/68; GA MŠk(CZ) ED1.1.00/02.0070; GA MŠk(CZ) EE.2.3.20.0073
Program: ED
Institutional support: RVO:67985807
Keywords : photovoltaic power plant * energy concept * energy consumption * PAX system * solar radiation
Subject RIV: JE - Non-nuclear Energetics, Energy Consumption ; Use
Impact factor: 0.244, year: 2011
http://pe.org.pl/abstract_pl.php?nid=8034
Permanent Link: http://hdl.handle.net/11104/0231404 - 5.0405636 - UIVT-O 336018 RIV CZ eng J - Journal Article
Pelikán, Emil - Šimůnek, Milan
Risk Management of the Natural Gas Consumption using Genetic Algorithms.
[Řízení rizika spotřeby zemního plynu pomocí genetických algoritmů.]
Neural Network World. Roč. 15, - (2005), s. 425-436. ISSN 1210-0552
R&D Projects: GA AV ČR 1ET400300513
Institutional research plan: CEZ:AV0Z10300504
Keywords : forecasting * risk-management * energy consumption
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0003471File Download Size Commentary Version Access 0405636.pdf 4 449.5 KB Publisher’s postprint open-access - 6.0405506 - UIVT-O 330884 RIV CZ cze J - Journal Article
Čermáková, J. - Matějovic, J. - Naxerová, O. - Bečvář, J. - Brabec, Marek - Brabec, Tomáš - Konár, Ondřej - Malý, Marek - Pelikán, Emil - Šimůnek, Milan - Vondráček, Jiří
Matematické modelování spotřeby zemního plynu zákazníků bez průběhového měření.
[Mathematical Modelling of Natural Gas Consumption by Customers without Course Measurement.]
Plyn : odborný měsíčník pro plynárenství. Roč. 85, č. 2 (2005), s. 34-37. ISSN 0032-1761
R&D Projects: GA AV ČR 1ET400300513
Institutional research plan: CEZ:AV0Z10300504
Keywords : modelování a predikce spotřeby * výpočet nevyfakturovaného plynu * informační společnost
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0125664 - 7.0404801 - UIVT-O 20030021 RIV GB eng J - Journal Article
Schlink, U. - Dorling, S.R. - Pelikán, Emil - Nunnari, G. - Cawley, C. - Junninen, H. - Greig, A. - Foxall, R. - Eben, Kryštof - Chatterton, T. - Vondráček, Jiří - Richter, M. - Dostál, Michal - Bertucco, L. - Kolehmainen, M. - Doyle, M.
A Rigorous Inter-Comparison of Ground-Level Ozone Predictions.
Atmospheric Environment. Roč. 37, - (2003), s. 3237-3253. ISSN 1352-2310. E-ISSN 1873-2844
Grant - others:APPETISE(XE) IST-1999-11764
Institutional research plan: AV0Z1030915
Keywords : statistical methods * air polution * neural networks
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 2.338, year: 2003
Permanent Link: http://hdl.handle.net/11104/0125034 - 8.0404222 - UIVT-O 20010066 RIV CZ cze J - Journal Article
Pelikán, Emil - Eben, Kryštof - Šimůnek, Milan
Predikce spotřeby elektrické energie a zemního plynu.
[Predictions of Natural Gas and Electric Power Consumptions using Principles Based on Modern Information Technologies.]
Automa. Roč. 7, č. 4 (2001), s. 15-17. ISSN 1210-9592
Institutional research plan: AV0Z1030915
Keywords : prediction systems * statistical data analysis * neural networks * software implementation
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0124486 - 9.0404091 - UIVT-O 20000207 RIV CZ cze J - Journal Article
Pelikán, Emil - Eben, Kryštof - Šimůnek, Milan - Kolman, M. - Hais, J.
Predikční systém ELVÍRA pro predikci spotřeby zemního plynu.
[Forecasting System ELVIRA for Natural Gas Demand Prediction.]
Plyn : odborný měsíčník pro plynárenství. Roč. 80, č. 11 (2000), s. 253-255. ISSN 0032-1761
Institutional research plan: AV0Z1030915
Keywords : predikční modely * systémy pro podporu rozhodování * regresní metody * umělé neuronové sítě
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0124362 - 10.0404081 - UIVT-O 20000202 RIV SK eng J - Journal Article
Pelikán, Emil - Eben, Kryštof - Vondráček, Jiří - Krejčíř, Pavel - Keder, J.
Ground Level Ozone Peak Forecast using Neural Networks and Kalman Filter.
Meteorologický časopis. Roč. 3, č. 2 (2000), s. 3-8. ISSN 1335-339X
Grant - others:APPETISE(XE) IST-99-11764; MŽP ČR(CZ) ZZ520/2/97; MŠMT ČR(CZ) VS96008
Institutional research plan: AV0Z1030915
Keywords : ozone forecast * neural classifications * Kalman filter * genetic algorithms * Kohonen maps * Czech Republic
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0124352