| LDR | | 07459cmm u2200697 i 4500 |
| 001 | | 000000327432 |
| 003 | | OCoLC |
| 005 | | 20240307135727 |
| 006 | | m d |
| 007 | | cr ||||||||||| |
| 008 | | 220928s2023 flu ob 001 0 eng |
| 010 | |
▼a 2022043202 |
| 015 | |
▼a GBC315412
▼2 bnb |
| 016 | 7 |
▼a 020933330
▼2 Uk |
| 019 | |
▼a 1375676893 |
| 020 | |
▼a 9781003369448
▼q (ebook) |
| 020 | |
▼a 1003369448 |
| 020 | |
▼a 9781000844986
▼q (electronic bk. : EPUB) |
| 020 | |
▼a 1000844986
▼q (electronic bk. : EPUB) |
| 020 | |
▼a 9781000844979
▼q (electronic bk. : PDF) |
| 020 | |
▼a 1000844978
▼q (electronic bk. : PDF) |
| 020 | |
▼z 9781032439228
▼q (hardback) |
| 020 | |
▼z 9781032439242
▼q (paperback) |
| 024 | 7 |
▼a 10.1201/9781003369448
▼2 doi |
| 035 | |
▼a 3536739
▼b (N$T) |
| 035 | |
▼a (OCoLC)1353817901
▼z (OCoLC)1375676893 |
| 037 | |
▼a 9781003369448
▼b Taylor & Francis |
| 040 | |
▼a DLC
▼b eng
▼e rda
▼c DLC
▼d TYFRS
▼d OCLCF
▼d UKMGB
▼d N$T
▼d UKAHL
▼d 248032 |
| 042 | |
▼a pcc |
| 049 | |
▼a MAIN |
| 050 | 00 |
▼a TK1010 |
| 072 | 7 |
▼a TEC
▼x 008000
▼2 bisacsh |
| 072 | 7 |
▼a THRB
▼2 bicssc |
| 082 | 00 |
▼a 621.31028563
▼2 23/eng/20221205 |
| 100 | 1 |
▼a Abou El-Ela, Adel Ali Mohamed,
▼e author. |
| 245 | 10 |
▼a Power quality enhancement using Artificial Intelligence techniques /
▼c Adel Ali Mohamed Abou El-Ela, Ahmed S. Abbas, Ragab A. El-Sehiemy, Adel A. Elbaset. |
| 250 | |
▼a First edition. |
| 263 | |
▼a 2303 |
| 264 | 1 |
▼a Boca Raton :
▼b CRC Press,
▼c 2023. |
| 300 | |
▼a 1 online resource |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 504 | |
▼a Includes bibliographical references and index. |
| 520 | |
▼a "This text discusses sensitivity parametric analysis for the single tuned filter parameters and presents an optimization-based method for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems. It also highlights the importance of artificial intelligence techniques such as water cycle algorithms in solving power quality problems such as over-voltage and harmonic distortion. Features: Presents a sensitivity parametric analysis for the single tuned filter parameters. Discusses optimization-based methods for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems. Highlights the importance of artificial intelligence techniques (water cycle algorithm) for solving power quality problems such as over-voltage and harmonic distortion. Showcases a procedure for harmonic mitigation in active distribution systems using the single tuned harmonic filters. Helps in learning how to determine the optimal planning of the single tuned filters to mitigate the harmonic distortion in distorted systems. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, Power systems planning and analysis"--
▼c Provided by publisher. |
| 545 | 0 |
▼a Prof. Dr. Adel Ali Mohamed Abou El-Ela was born in 1954, Tanta City, Egypt. He received his B.Sc., M.Sc. and Ph.D degrees in Electrical Engineering from Menoufia University, Egypt in 1977, 1980 and 1983, respectively. In 2006 until 2007 he was the Head of Electrical Engineering Department and general supervisor of Strategic Studies and Leader Development Center at Menoufia University, Egypt. In 2007 until 2008 he was the Vice-Dean of Faculty of Engineering at Menoufia University, Egypt. In 2008 until 2011 he was the Dean of Faculty of Engineering at Menoufia University, Egypt. Now, he was the Dean of Alexandria High Institute for Engineering and Technology, Alexandria, Egypt. Prof. Abou El-Ela published over 150 technical papers in International Journals and Conferences. He supervised and examined more than 110 of M.Sc and Ph.D. thesis at Menoufia and other Egyptian Universities. Eng. Ahmed S. Abbas was born in Menoufia, Egypt, in 1991. currently works at the Department of Electrical Engineering , Mechanical and Electrical Research Institute, NWRC, Egypt. Main research topics are in electrical power systems engineering, Renewable Energies, Optimization techniques applications. Now, I'm a PhD student researcher at Shebin El kom faculty of engineering- Menoufiya University. I received my M.Sc. at Shebin El kom faculty of engineering- Menoufiya University in 2018. I have 4 articles in peer review journals and conferences. Prof. Dr. Ragab A. El-Sehiemy was born in Menoufia, Egypt, in 1973. He received the B.Sc., Msc and Ph.D. degrees from Menoufia University, Egypt, in 1996, 2005, and 2008, respectively. He is currently Professor with the Electrical Engineering Department, Faculty of Engineering, Kafrelsheikh University, Egypt. He received Prof. Mahmoud Khalifia Award in Power System Engineering from Academy of research and technology in 2016. He is the receipt of El-Shorouk Academy for Computers& Information Technology in Industry from Academy of research and technology in 2021. Prof. El-Sehiemy is one of the top 2% of the effective scientists I n 2020 according Elsevier data base. He is an Editor of International Journal of Engineering Research in Africa and an Associate Editor in IEEE Access. Professor El-Sehiemy has more than 150 articles in peer review journals and conferences. His research interests include smart grid and its applications, optimization and AI, and its application to power systems and Renewable energies. Adel A Elbaset, Ph.D., is a Full Professor with the Faculty of Engineering at Minia University, Egypt. He received the B.S., M.Sc., and Ph.D. from Minia University in 1995, 2000, and 2006, respectively. Dr. Elbaset is also currently a Full Professor with the Faculty of Engineering at Heliopolis University where he also works as a Vice-Dean for Student Affairs and Head of the Department of Electromechanics. He has published over 120 technical papers in international journals and conferences proceedings and has supervised and examined more than 50 M.Sc. and Ph.D. theses at Minia and other Egyptian universities. His research interests are in the area of wind energy systems, photovoltaics, renewable energy systems, power electronics, power system protection and control, power quality and harmonics, and applications of neural networks and fuzzy systems. Dr. Elbaset has published 13 international books in the field of renewable energy. |
| 588 | |
▼a Description based on print version record. |
| 590 | |
▼a Added to collection customer.56279.3 |
| 650 | 0 |
▼a Electric power systems
▼x Quality control
▼x Data processing. |
| 650 | 0 |
▼a Artificial intelligence. |
| 650 | 7 |
▼a TECHNOLOGY / Electronics / General
▼2 bisacsh |
| 650 | 7 |
▼a Artificial intelligence.
▼2 fast
▼0 (OCoLC)fst00817247 |
| 650 | 7 |
▼a Electric power systems
▼x Data processing.
▼2 fast
▼0 (OCoLC)fst00905545 |
| 651 | 7 |
▼a West Indies.
▼2 fast
▼0 (OCoLC)fst01243265 |
| 700 | 1 |
▼a Abbas, Ahmed S.,
▼e author. |
| 700 | 1 |
▼a El-Sehiemy, Ragab A.,
▼e author. |
| 700 | 1 |
▼a Elbaset, Adel A.,
▼e author. |
| 776 | 08 |
▼i Print version:
▼a Abou El-Ela, Adel Ali Mohamed.
▼t Power quality enhancement using Artificial Intelligence techniques
▼b First edition.
▼d Boca Raton : CRC Press, 2023
▼z 9781032439228
▼w (DLC) 2022043201 |
| 856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3536739 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 3536739 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b N$T |