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Applications of artificial intellige...
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International Conference on Signals, Machines and Automation ((2018 :)
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Applications of artificial intelligence techniques in engineering = SIGMA 2018.. Volume 2 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Applications of artificial intelligence techniques in engineering/ edited by Hasmat Malik ... [et al.].
其他題名:
SIGMA 2018.
其他作者:
Malik, Hasmat.
團體作者:
International Conference on Signals, Machines and Automation
出版者:
Singapore :Springer Singapore : : 2019.,
面頁冊數:
xv, 647 p. :ill., digital ;24 cm.
內容註:
Chapter 1: A New Approach for Power Loss Minimization in Radial Distribution Networks -- Chapter 2: Security Constrained Unit Commitment for Joint Energy and Reserve Market based on MIP Method -- Chapter 3: In-depth analysis of Charge leakage through vegetation in transmission and distribution lines -- Chapter 4: Comparative Study of Different Neural Networks for One Year Ahead Load Forecasting -- Chapter 5: Reliability of PMU using Fuzzy - Markov Dynamic Method -- Chapter 6: A Hybrid Intelligent Model for Power Quality Disturbance Classification -- Chapter 7: DSTATCOM with T-connected Transformer for improving power Quality -- Chapter 8: Voltage Stability Enhancement of Primary Distribution System by Optimal DG Placement -- Chapter 9: Demand Forecasting Using Artificial Neural Networks- A case study of American Retail Corporation.
Contained By:
Springer eBooks
標題:
Artificial intelligence - Engineering applications -
電子資源:
https://doi.org/10.1007/978-981-13-1822-1
ISBN:
9789811318221
Applications of artificial intelligence techniques in engineering = SIGMA 2018.. Volume 2 /
Applications of artificial intelligence techniques in engineering
SIGMA 2018.Volume 2 /[electronic resource] :edited by Hasmat Malik ... [et al.]. - Singapore :Springer Singapore :2019. - xv, 647 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.6972194-5357 ;. - Advances in intelligent systems and computing ;v.697..
Chapter 1: A New Approach for Power Loss Minimization in Radial Distribution Networks -- Chapter 2: Security Constrained Unit Commitment for Joint Energy and Reserve Market based on MIP Method -- Chapter 3: In-depth analysis of Charge leakage through vegetation in transmission and distribution lines -- Chapter 4: Comparative Study of Different Neural Networks for One Year Ahead Load Forecasting -- Chapter 5: Reliability of PMU using Fuzzy - Markov Dynamic Method -- Chapter 6: A Hybrid Intelligent Model for Power Quality Disturbance Classification -- Chapter 7: DSTATCOM with T-connected Transformer for improving power Quality -- Chapter 8: Voltage Stability Enhancement of Primary Distribution System by Optimal DG Placement -- Chapter 9: Demand Forecasting Using Artificial Neural Networks- A case study of American Retail Corporation.
The book is a collection of high-quality, peer-reviewed innovative research papers from the International Conference on Signals, Machines and Automation (SIGMA 2018) held at Netaji Subhas Institute of Technology (NSIT), Delhi, India. The conference offered researchers from academic and industry the opportunity to present their original work and exchange ideas, information, techniques and applications in the field of computational intelligence, artificial intelligence and machine intelligence. The book is divided into two volumes discussing a wide variety of industrial, engineering and scientific applications of the emerging techniques.
ISBN: 9789811318221
Standard No.: 10.1007/978-981-13-1822-1doiSubjects--Topical Terms:
2073671
Artificial intelligence
--Engineering applications
LC Class. No.: TA347.A78
Dewey Class. No.: 658.0563
Applications of artificial intelligence techniques in engineering = SIGMA 2018.. Volume 2 /
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Chapter 1: A New Approach for Power Loss Minimization in Radial Distribution Networks -- Chapter 2: Security Constrained Unit Commitment for Joint Energy and Reserve Market based on MIP Method -- Chapter 3: In-depth analysis of Charge leakage through vegetation in transmission and distribution lines -- Chapter 4: Comparative Study of Different Neural Networks for One Year Ahead Load Forecasting -- Chapter 5: Reliability of PMU using Fuzzy - Markov Dynamic Method -- Chapter 6: A Hybrid Intelligent Model for Power Quality Disturbance Classification -- Chapter 7: DSTATCOM with T-connected Transformer for improving power Quality -- Chapter 8: Voltage Stability Enhancement of Primary Distribution System by Optimal DG Placement -- Chapter 9: Demand Forecasting Using Artificial Neural Networks- A case study of American Retail Corporation.
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