Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Ömer Ali Karaman"'
Autor:
Ömer Ali Karaman
Publikováno v:
Case Studies in Thermal Engineering, Vol 49, Iss , Pp 103228- (2023)
This paper presents the application of Particle Swarm Optimization (PSO) Algorithm, Artificial Neural Networks (ANNs) and Bagged Tree (BT) methods for forecasting seasonal solar irradiance in Karapınar town Turkey. These methods, namely ANN, PSO and
Externí odkaz:
https://doaj.org/article/d4e70337d35849d7a259de7ad3890c18
Autor:
Ömer Ali Karaman
Publikováno v:
Applied Sciences, Vol 13, Iss 20, p 11455 (2023)
Wind power is a vital power grid component, and wind power forecasting represents a challenging task. In this study, a series of multiobjective predictive models were created utilising a range of cutting-edge machine learning (ML) methodologies, name
Externí odkaz:
https://doaj.org/article/d00d5ddb02354138b7de5c9ac54f91c4
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 2, Pp 2447-2455 (2021)
It is stated in the present study that extreme learning machines (ELM) will display a greater performance in solar radiation estimation compared to artificial neural networks (ANN). The data acquired from Karaman province during 2010–2018 were used
Externí odkaz:
https://doaj.org/article/d93094aa1a684de09aae4d1d5b6f261a
Publikováno v:
Tehnički Vjesnik, Vol 25, Iss Supplement 1, Pp 157-164 (2018)
Three-Phase Parallel Active Power Filter (PAPF) control mechanism via a novel Adaptive Harmonic Injection (AHI) algorithm is proposed in order to filter out harmonics generated by non-linear loads and carry out reactive power compensation. The presen
Externí odkaz:
https://doaj.org/article/3eb431bbb6814a9ea6928b7422d1bc3e
Publikováno v:
Journal of Advanced Research in Natural and Applied Sciences. 8:555-568
Bu makalede eğitici içeriğe sahip dijital video oyunları ele alınmış olup Elektrik-Elektronik Mühendisliğine entegrasyonu için STEM (Bilim, Teknoloji, Mühendislik, Matematik) felsefesi içinde bazı değerlendirilmeler yapılmıştır. STE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f1f2a286c1f5da75a3f065e04115829
https://doi.org/10.28979/jarnas.1064673
https://doi.org/10.28979/jarnas.1064673
Autor:
Mehmet Şefik ÜNEY, Ömer Ali KARAMAN
Publikováno v:
Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi. 8:328-342
Continuity of the power quality is important in the modern day grid structure and the smart grid structure of the future. Incorporating the renewable energy sources to the present grid system and the increase of the usage of technology devices will c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20276f8dc2dc4c290b6099dc94bbb652
https://doi.org/10.54365/adyumbd.939716
https://doi.org/10.54365/adyumbd.939716
Publikováno v:
Journal of Mechanical Science and Technology. 34:4631-4640
There are different process parameters of bonding joints in the literature. The main objective of the paper was to investigate the effects of bonding angle, composite lay-up sequences and adherend thickness on failure load of adhesively bonded joints
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34687e65defcec6cfd61f4daf4608e28
https://doi.org/10.1007/s12206-020-1021-7
https://doi.org/10.1007/s12206-020-1021-7
Publikováno v:
Volume: 4, Issue: 3 239-248
International Advanced Researches and Engineering Journal
International Advanced Researches and Engineering Journal
Nowadays, the problem of power quality increases day by day. Harmonic current and reactive power are the important factors disturbing the power quality. The induction motors draw both harmonic current and reactive power from the grid. Reactive power
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1935224e012a0a67af0fe74f35c05f17
https://dergipark.org.tr/tr/pub/iarej/issue/57908/731187
https://dergipark.org.tr/tr/pub/iarej/issue/57908/731187
Publikováno v:
Energies, Vol 17, Iss 4, p 777 (2024)
Accurate instantaneous electricity peak load prediction is crucial for efficient capacity planning and cost-effective electricity network establishment. This paper aims to enhance the accuracy of instantaneous peak load forecasting by employing model
Externí odkaz:
https://doaj.org/article/f7ed420325634df995b55cef0ecdd6d9
Publikováno v:
Energies, Vol 16, Iss 11, p 4499 (2023)
Medium Neural Networks (MNN), Whale Optimization Algorithm (WAO), and Support Vector Machine (SVM) methods are frequently used in the literature for estimating electricity demand. The objective of this study was to make an estimation of the electrici
Externí odkaz:
https://doaj.org/article/3402539b598840d8991ab334cd847365