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pro vyhledávání: '"Fatma YAPRAKDAL"'
Autor:
Fatma Yaprakdal, Merve Varol Arısoy
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12946 (2023)
In the smart grid paradigm, precise electrical load forecasting (ELF) offers significant advantages for enhancing grid reliability and informing energy planning decisions. Specifically, mid-term ELF is a key priority for power system planning and ope
Externí odkaz:
https://doaj.org/article/3d14ed0f97a24a9385af0111a799ed07
Autor:
Mehmet Rıda TÜR, Fatma YAPRAKDAL
Publikováno v:
Gazi Üniversitesi Fen Bilimleri Dergisi, Vol 8, Iss 3, Pp 572-587 (2020)
In the power systems, non-linear electrical loads connected to the grid in practice pose significant power quality problems on power electronics circuit elements. Due to the increasing energy demand and the increase in the production rate of renewabl
Externí odkaz:
https://doaj.org/article/75020aa667be496781fcd2863faa199d
Autor:
Fatma Yaprakdal
Publikováno v:
Energies, Vol 16, Iss 1, p 57 (2022)
The realization of load forecasting studies within the scope of forecasting periods varies depending on the application areas and estimation purposes. It is mainly carried out at three intervals: short-term, medium-term, and long-term. Short-term loa
Externí odkaz:
https://doaj.org/article/7de16f3647064f00b23632283bb0874d
Publikováno v:
Energies, Vol 12, Iss 10, p 1858 (2019)
Passive distribution networks are being converted into active ones by incorporating distributed means of energy generation, consumption, and storage, and the formation of so-called microgrids (MGs). As the next generation of MGs, reconfigurable micro
Externí odkaz:
https://doaj.org/article/d769ca0039854de797718ada57db994a
Autor:
FATİH BAL, Fatma Yaprakdal
Publikováno v:
Volume: 12, Issue: 2 102-107
European Journal of Technique (EJT)
European Journal of Technique
European Journal of Technique (EJT)
European Journal of Technique
Electrical load forecasting (ELF) is gaining importance especially due to the severe impact of climate change on electrical energy usage and dynamically evolving smart grid technologies in the last decades. In this regard, medium-term load forecastin
Publikováno v:
Sustainability, Vol 12, Iss 4, p 1653 (2020)
Sustainability
Volume 12
Issue 4
Yaprakdal, F, Yılmaz, M B, Baysal, M & Anvari-Moghaddam, A 2020, ' A Deep Neural Network-Assisted Approach to Enhance Short-Term Optimal Operational Scheduling of a Microgrid ', Sustainability, vol. 12, no. 4, 1653, pp. 1-23 . https://doi.org/10.3390/su12041653
Sustainability
Volume 12
Issue 4
Yaprakdal, F, Yılmaz, M B, Baysal, M & Anvari-Moghaddam, A 2020, ' A Deep Neural Network-Assisted Approach to Enhance Short-Term Optimal Operational Scheduling of a Microgrid ', Sustainability, vol. 12, no. 4, 1653, pp. 1-23 . https://doi.org/10.3390/su12041653
The inherent variability of large-scale renewable energy generation leads to significant difficulties in microgrid energy management. Likewise, the effects of human behaviors in response to the changes in electricity tariffs as well as seasons result
Over the past decades, electric power systems (EPSs) have undergone an evolution from an ordinary bulk structure to intelligent flexible systems by way of advanced electronics and control technologies. Moreover, EPS has become a more complex, unstabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::136f396b25d4e314dced7da272510885
https://aperta.ulakbim.gov.tr/record/7997
https://aperta.ulakbim.gov.tr/record/7997
Publikováno v:
Yaprakdal, F, Baysal, M & Anvari-Moghaddam, A 2019, ' Optimal Operational Scheduling of Reconfigurable Microgrids in Presence of Renewable Energy Sources ', Energies, vol. 12, no. 10, en12101858 . https://doi.org/10.3390/en12101858
Energies, Vol 12, Iss 10, p 1858 (2019)
Energies; Volume 12; Issue 10; Pages: 1858
Energies, Vol 12, Iss 10, p 1858 (2019)
Energies; Volume 12; Issue 10; Pages: 1858
Passive distribution networks are being converted into active ones by incorporating distributed means of energy generation, consumption, and storage, and the formation of so-called microgrids (MGs). As the next generation of MGs, reconfigurable micro