Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Serdar Ekinci"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract This paper introduces a novel multi-stage FOPD(1 + PI) controller for DC motor speed control, optimized using the Pelican Optimization Algorithm (POA). Traditional PID controllers often fall short in handling the complex dynamics of DC motor
Externí odkaz:
https://doaj.org/article/5a132deea1d149089cfd8fa5858511eb
Publikováno v:
Journal of King Saud University: Engineering Sciences, Vol 36, Iss 5, Pp 330-338 (2024)
This paper explains the construction of a novel augmented hunger games search algorithm using a logarithmic spiral opposition-based learning technique. The proposed algorithm (LsOBL-HGS) is used as an efficient tool for both function optimization and
Externí odkaz:
https://doaj.org/article/8a1261988bb54f48b6518fcde17f699e
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 9, Iss , Pp 100687- (2024)
This work introduces novel advancements in automatic voltage regulator (AVR) control, addressing key challenges and delivering innovative contributions. The primary motivation lies in enhancing AVR performance to ensure stable and reliable voltage ou
Externí odkaz:
https://doaj.org/article/3687d03324634fd8acae96c3ed0aa6de
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Solar energy has emerged as a key solution in the global transition to renewable energy sources, driven by environmental concerns and climate change. This is largely due to its cleanliness, availability, and cost-effectiveness. The precise assessment
Externí odkaz:
https://doaj.org/article/dc150c1becc4484a9820c31f218368b1
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 6, Pp 959-978 (2024)
Abstract The pressing need for sustainable energy solutions has driven significant research in optimizing solar photovoltaic (PV) systems which is crucial for maximizing energy conversion efficiency. Here, a novel hybrid gazelle‐Nelder–Mead (GOAN
Externí odkaz:
https://doaj.org/article/52ffa30ebdea4b2da358c87f97942b4c
Publikováno v:
AIMS Mathematics, Vol 9, Iss 5, Pp 13410-13438 (2024)
In this study, we present a comprehensive framework for enhancing the temperature control of electric furnaces, integrating three novel components: a proportional-integral-derivative controller with a filter (PID-F), a customized objective function,
Externí odkaz:
https://doaj.org/article/da59c9b6534e4919a98ed855d1328729
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract The growing demand for solar energy conversion underscores the need for precise parameter extraction methods in photovoltaic (PV) plants. This study focuses on enhancing accuracy in PV system parameter extraction, essential for optimizing PV
Externí odkaz:
https://doaj.org/article/d4a3ccda0fd542d19a7b0cf9bb65e3e9
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 102958- (2024)
Maintaining a stable balance between generated power and load demand is a critical challenge in modern power systems, especially with the increasing integration of renewable energy sources like photovoltaic (PV) systems. This study introduces a novel
Externí odkaz:
https://doaj.org/article/85338de273c547baa5bfc37163f1f33a
Autor:
Maali Alabdulhafith, Harshit Batra, Nagwan M. Abdel Samee, Mohammed Azmi Al-Betar, Ammar Almomani, Davut Izci, Serdar Ekinci, Fatma A. Hashim
Publikováno v:
IEEE Access, Vol 12, Pp 134948-134984 (2024)
This paper presents a modified bonobo optimizer (MBO) that integrates the Gaussian local mutation, restart strategy, and random contraction strategy into the original bonobo optimizer (BO). BO, inspired by the unique reproductive schemes and fission-
Externí odkaz:
https://doaj.org/article/e8212f7f260f416c8419ca9eef62752c
Autor:
Serdar Ekinci, Davut İzci
Publikováno v:
Electrica, Vol 24, Iss 1, Pp 119-130 (2024)
Externí odkaz:
https://doaj.org/article/ebaf048d90284d60aa06c99de0f01800