Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Marcin Kopyt"'
Autor:
Paweł Piotrowski, Marcin Kopyt
Publikováno v:
Energies, Vol 17, Iss 17, p 4234 (2024)
High-quality short-term forecasts of electrical energy generation in solar power plants are crucial in the dynamically developing sector of renewable power generation. This article addresses the issue of selecting appropriate (preferred) methods for
Externí odkaz:
https://doaj.org/article/2482ac27a2c242d1943966f6b885178d
Publikováno v:
Energies, Vol 15, Iss 24, p 9657 (2022)
Power generation forecasts for wind farms, especially with a short-term horizon, have been extensively researched due to the growing share of wind farms in total power generation. Detailed forecasts are necessary for the optimization of power systems
Externí odkaz:
https://doaj.org/article/04cd57a247b049b2978455ba587f1ca0
Publikováno v:
Energies, Vol 15, Iss 15, p 5578 (2022)
The main objective of this study was to conduct multi-stage and multi-variant prognostic research to assess the impact of e-mobility development on the Polish power system for the period 2022–2027. The research steps were as follows: forecast the n
Externí odkaz:
https://doaj.org/article/13dbbac6d0c540d38b8f0de6f8ec1eb7
Publikováno v:
Energies, Vol 15, Iss 4, p 1252 (2022)
The ability to precisely forecast power generation for large wind farms is very important, since such generation is highly unstable and creates problems for Distribution and Transmission System Operators to properly prepare the power system for opera
Externí odkaz:
https://doaj.org/article/0b82d4d9161d4af5861e321d0689d649
Publikováno v:
Energies, Vol 14, Iss 5, p 1225 (2021)
The ability to forecast electricity generation for a small wind turbine is important both on a larger scale where there are many such turbines (because it creates problems for networks managed by distribution system operators) and for prosumers to al
Externí odkaz:
https://doaj.org/article/832d8f84ee43409b80cf8528f6947ad1
Autor:
Marcin Kopyt
Publikováno v:
PRZEGLĄD ELEKTROTECHNICZNY. 1:7-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6f25861be62835eb2328810c0c70091
https://doi.org/10.15199/48.2020.11.02
https://doi.org/10.15199/48.2020.11.02
Autor:
Marcin Kopyt
Publikováno v:
PRZEGLĄD ELEKTROTECHNICZNY. 1:3-6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dba5292b0c7015e694df217b33cae81
https://doi.org/10.15199/48.2020.11.01
https://doi.org/10.15199/48.2020.11.01
Publikováno v:
Energies, Vol 14, Iss 1225, p 1225 (2021)
Energies; Volume 14; Issue 5; Pages: 1225
Energies; Volume 14; Issue 5; Pages: 1225
The ability to forecast electricity generation for a small wind turbine is important both on a larger scale where there are many such turbines (because it creates problems for networks managed by distribution system operators) and for prosumers to al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::343b6af6d4dbf23fd336723b95c05b3b
https://doi.org/10.3390/en14051225
https://doi.org/10.3390/en14051225
Autor:
Marcin Kopyt, Karolina Szafranek, T. Gulczyński, Dariusz Baczyński, Paweł Piotrowski, P. Helt
Publikováno v:
Electric Power Systems Research. 175:105891
This paper presents a first step towards developing a method and an IT system for spatial forecasting of energy generation from renewable energy sources. Spatial forecasting is understood here as simultaneous forecasting for both large (e.g. country)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4316f09f918c99362c41529be3d147e4
https://doi.org/10.1016/j.epsr.2019.105891
https://doi.org/10.1016/j.epsr.2019.105891
Publikováno v:
E3S Web of Conferences, Vol 84, p 01001 (2019)
The most important factor responsible for the quality of energy production forecasts in wind farms is the accurate wind speed forecast. An extensive statistical analysis of meteorological data (NWP) from 16 base nodes of the "300" grid in the "Łód
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b968a09508ff01177f99fef47c34151
https://doi.org/10.1051/e3sconf/20198401001
https://doi.org/10.1051/e3sconf/20198401001