Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Oleg Valgaev"'
Publikováno v:
Energy Informatics, Vol 6, Iss S1, Pp 1-2 (2023)
Externí odkaz:
https://doaj.org/article/6631f1ada3dc46518ebc5d6520dc40dd
Publikováno v:
Energy Informatics, Vol 3, Iss 1, Pp 1-17 (2020)
Abstract Power system operation increasingly relies on numerous day-ahead forecasts of local, disaggregated loads such as single buildings, microgrids and small distribution system areas. Various data-driven models can be effective predicting specifi
Externí odkaz:
https://doaj.org/article/bc0150d9b21e4991a642f109cbdade3d
Publikováno v:
Energy Informatics, 3 (1), 28
Energy Informatics, Vol 3, Iss 1, Pp 1-17 (2020)
Energy Informatics, Vol 3, Iss 1, Pp 1-17 (2020)
Power system operation increasingly relies on numerous day-ahead forecasts of local, disaggregated loads such as single buildings, microgrids and small distribution system areas. Various data-driven models can be effective predicting specific time se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e192d2c945eac5fffc07f19d82176b02
https://doi.org/10.1186/s42162-020-00132-6
https://doi.org/10.1186/s42162-020-00132-6
Autor:
Friederich Kupzog, Oleg Valgaev
Publikováno v:
it - Information Technology. 58:37-43
Buildings acting as flexible loads have been often proposed to mitigate the volatility of renewable energy sources. Thereby, an accurate short-term demand forecast is indispensable for effective demand side management. At the same time, standardized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7866992fb05ae26c830cd10fd0a59616
https://doi.org/10.1515/itit-2015-0045
https://doi.org/10.1515/itit-2015-0045
Publikováno v:
2017 IEEE Power & Energy Society General Meeting.
Until recently, low-voltage end-consumers were assumed to be uncontrollable, and load forecasting in the distribution systems was of limited interest. With the increasing share of decentralized supply connected to the distribution grid, balancing of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfdf83a454aa8876663db82b938dab86
https://doi.org/10.1109/pesgm.2017.8273765
https://doi.org/10.1109/pesgm.2017.8273765
Publikováno v:
e-Energy
Following the ongoing transformation of the European power system, in the future, it will be necessary to locally balance the increasing share of decentralized renewable energy supply. Therefore, a reliable short-term load forecast down to the level
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ab60c5da9fbfab24b784e18b642cc75
https://doi.org/10.1145/3077839.3081681
https://doi.org/10.1145/3077839.3081681
Publikováno v:
2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia).
Demand response in the low-voltage domain has been ofter proposed to mitigate the volatility of the renewable energy supply. Therefore, an accurate demand forecast in this domain is indispensable to effectively manage balancing power. At the same tim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c8be21e6cfec60456230407b6813c04
https://doi.org/10.1109/isgt-asia.2016.7796525
https://doi.org/10.1109/isgt-asia.2016.7796525
Autor:
Oleg Valgaev, Friederich Kupzog
Publikováno v:
2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).
Buildings, acting as flexible loads have been often proposed to mitigate the volatility of the renewable energy sources. However, an accurate building power demand forecast is indispensable to effectively manage the load flexibility. In this publicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa0808062cdeba87340d9b1a1fac29eb
https://doi.org/10.1109/appeec.2016.7779700
https://doi.org/10.1109/appeec.2016.7779700
Publikováno v:
2015 IEEE Eindhoven PowerTech.
This paper presents a controlled islanding algorithm based on k-means clustering. It considers Voltage Source Converter-based HVDC (VSC-HVDC) links within a synchronous system and places one VSC-HVDC terminal in each island so that power can be excha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c1c4dd6a063a79192717a4a475c7601
https://doi.org/10.1109/ptc.2015.7232357
https://doi.org/10.1109/ptc.2015.7232357
Publikováno v:
Energy Informatics; 10/19/2023, Vol. 6 Issue 1, p1-2, 2p