Intelligent paradigms for smart grid and renewable energy systems:
This book addresses and disseminates state-of-the-art research and development in the applications of intelligent techniques for smart grids and renewable energy systems. This helps the readers to grasp the extensive point of view and the essence of the recent advances in this field. The book solici...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Singapore, Singapore
Springer
[2021]
|
| Schriftenreihe: | Algorithms for intelligent systems
|
| Schlagworte: | |
| Zusammenfassung: | This book addresses and disseminates state-of-the-art research and development in the applications of intelligent techniques for smart grids and renewable energy systems. This helps the readers to grasp the extensive point of view and the essence of the recent advances in this field. The book solicits contributions from active researchers which include theory, case studies and intelligent paradigms pertaining to the smart grid and renewable energy systems. The prospective audience would be researchers, professionals, practitioners and students from academia and industry who work in this field |
| Beschreibung: | Artificial Swarm Intelligence – A Paradigm Shift in Prediction, Decision Making and Diagnosis.- Robust Optimal Tuning of UPFC using Single Objective Optimization Algorithm.- Hybrid Sensorless MPPT Algorithm for Detecting Fast Irradiation Changes and Partial Shading Conditions on PV Systems.- A New Model of Demand Response in Smart Grid.- A Smart Bidirectional Power Interface between Smart Grid and Electric Vehicle.- Nature Inspired Optimization Algorithms for renewable energy generation, distribution and management – A comprehensive review.- Learning Automata and Soft Computing Techniques based Maximum Power Point Tracking Techniques for Solar PV Systems.- Fuzzy Logic Controller based Plug-In EV Battery Charger.- Nature Inspired Algorithms for Maximum Power Point Tracking in Photovoltaic Systems under Partially Shaded Conditions.- Soft Computing Techniques-Based Low Voltage Ride Through control of Doubly Fed Induction Wind Generator.- Harmonic Current Estimation of a Non-Linear Load Using Artificial Neural Network.- Demand Response in Smart Residential Buildings |
| Beschreibung: | xii, 390 Seiten Illustrationen, Diagramme 770 grams |
| ISBN: | 9789811599675 |
Internformat
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| 245 | 1 | 0 | |a Intelligent paradigms for smart grid and renewable energy systems |c B. Vinoth Kumar, P. Sivakumar, M. M. Raja Singaravel, K. Vijayakumar, editors |
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| 500 | |a Artificial Swarm Intelligence – A Paradigm Shift in Prediction, Decision Making and Diagnosis.- Robust Optimal Tuning of UPFC using Single Objective Optimization Algorithm.- Hybrid Sensorless MPPT Algorithm for Detecting Fast Irradiation Changes and Partial Shading Conditions on PV Systems.- A New Model of Demand Response in Smart Grid.- A Smart Bidirectional Power Interface between Smart Grid and Electric Vehicle.- Nature Inspired Optimization Algorithms for renewable energy generation, distribution and management – A comprehensive review.- Learning Automata and Soft Computing Techniques based Maximum Power Point Tracking Techniques for Solar PV Systems.- Fuzzy Logic Controller based Plug-In EV Battery Charger.- Nature Inspired Algorithms for Maximum Power Point Tracking in Photovoltaic Systems under Partially Shaded Conditions.- Soft Computing Techniques-Based Low Voltage Ride Through control of Doubly Fed Induction Wind Generator.- Harmonic Current Estimation of a Non-Linear Load Using Artificial Neural Network.- Demand Response in Smart Residential Buildings | ||
| 520 | |a This book addresses and disseminates state-of-the-art research and development in the applications of intelligent techniques for smart grids and renewable energy systems. This helps the readers to grasp the extensive point of view and the essence of the recent advances in this field. The book solicits contributions from active researchers which include theory, case studies and intelligent paradigms pertaining to the smart grid and renewable energy systems. The prospective audience would be researchers, professionals, practitioners and students from academia and industry who work in this field | ||
| 650 | 4 | |a Computational intelligence | |
| 650 | 4 | |a Power electronics | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Engineering | |
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| 650 | 0 | 7 | |a Dezentrale Energieversorgung |0 (DE-588)4012002-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Erneuerbare Energien |0 (DE-588)4068598-6 |2 gnd |9 rswk-swf |
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| 700 | 1 | |a Vinoth Kumar, B. |4 edt | |
| 700 | 1 | |a Pandian, Sivakumar |0 (DE-588)1194411126 |4 edt | |
| 700 | 1 | |a Rajan Singaravel, M.M. |4 edt | |
| 700 | 1 | |a , K. |e Sonstige |4 oth | |
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Datensatz im Suchindex
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| author_facet | Vinoth Kumar, B. Pandian, Sivakumar Rajan Singaravel, M.M |
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| illustrated | Illustrated |
| index_date | 2024-07-03T16:20:21Z |
| indexdate | 2024-07-10T09:02:22Z |
| institution | BVB |
| isbn | 9789811599675 |
| language | English |
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| physical | xii, 390 Seiten Illustrationen, Diagramme 770 grams |
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| series2 | Algorithms for intelligent systems |
| spelling | Intelligent paradigms for smart grid and renewable energy systems B. Vinoth Kumar, P. Sivakumar, M. M. Raja Singaravel, K. Vijayakumar, editors Singapore, Singapore Springer [2021] xii, 390 Seiten Illustrationen, Diagramme 770 grams txt rdacontent n rdamedia nc rdacarrier Algorithms for intelligent systems Artificial Swarm Intelligence – A Paradigm Shift in Prediction, Decision Making and Diagnosis.- Robust Optimal Tuning of UPFC using Single Objective Optimization Algorithm.- Hybrid Sensorless MPPT Algorithm for Detecting Fast Irradiation Changes and Partial Shading Conditions on PV Systems.- A New Model of Demand Response in Smart Grid.- A Smart Bidirectional Power Interface between Smart Grid and Electric Vehicle.- Nature Inspired Optimization Algorithms for renewable energy generation, distribution and management – A comprehensive review.- Learning Automata and Soft Computing Techniques based Maximum Power Point Tracking Techniques for Solar PV Systems.- Fuzzy Logic Controller based Plug-In EV Battery Charger.- Nature Inspired Algorithms for Maximum Power Point Tracking in Photovoltaic Systems under Partially Shaded Conditions.- Soft Computing Techniques-Based Low Voltage Ride Through control of Doubly Fed Induction Wind Generator.- Harmonic Current Estimation of a Non-Linear Load Using Artificial Neural Network.- Demand Response in Smart Residential Buildings This book addresses and disseminates state-of-the-art research and development in the applications of intelligent techniques for smart grids and renewable energy systems. This helps the readers to grasp the extensive point of view and the essence of the recent advances in this field. The book solicits contributions from active researchers which include theory, case studies and intelligent paradigms pertaining to the smart grid and renewable energy systems. The prospective audience would be researchers, professionals, practitioners and students from academia and industry who work in this field Computational intelligence Power electronics Artificial intelligence Engineering Intelligentes Stromnetz (DE-588)7708028-2 gnd rswk-swf Dezentrale Energieversorgung (DE-588)4012002-8 gnd rswk-swf Erneuerbare Energien (DE-588)4068598-6 gnd rswk-swf Allgemeines, Lexika (DE-588)4143413-4 Aufsatzsammlung gnd-content Erneuerbare Energien (DE-588)4068598-6 s Dezentrale Energieversorgung (DE-588)4012002-8 s Intelligentes Stromnetz (DE-588)7708028-2 s DE-604 Vinoth Kumar, B. edt Pandian, Sivakumar (DE-588)1194411126 edt Rajan Singaravel, M.M. edt , K. Sonstige oth |
| spellingShingle | Intelligent paradigms for smart grid and renewable energy systems Computational intelligence Power electronics Artificial intelligence Engineering Intelligentes Stromnetz (DE-588)7708028-2 gnd Dezentrale Energieversorgung (DE-588)4012002-8 gnd Erneuerbare Energien (DE-588)4068598-6 gnd |
| subject_GND | (DE-588)7708028-2 (DE-588)4012002-8 (DE-588)4068598-6 (DE-588)4143413-4 |
| title | Intelligent paradigms for smart grid and renewable energy systems |
| title_auth | Intelligent paradigms for smart grid and renewable energy systems |
| title_exact_search | Intelligent paradigms for smart grid and renewable energy systems |
| title_exact_search_txtP | Intelligent paradigms for smart grid and renewable energy systems |
| title_full | Intelligent paradigms for smart grid and renewable energy systems B. Vinoth Kumar, P. Sivakumar, M. M. Raja Singaravel, K. Vijayakumar, editors |
| title_fullStr | Intelligent paradigms for smart grid and renewable energy systems B. Vinoth Kumar, P. Sivakumar, M. M. Raja Singaravel, K. Vijayakumar, editors |
| title_full_unstemmed | Intelligent paradigms for smart grid and renewable energy systems B. Vinoth Kumar, P. Sivakumar, M. M. Raja Singaravel, K. Vijayakumar, editors |
| title_short | Intelligent paradigms for smart grid and renewable energy systems |
| title_sort | intelligent paradigms for smart grid and renewable energy systems |
| topic | Computational intelligence Power electronics Artificial intelligence Engineering Intelligentes Stromnetz (DE-588)7708028-2 gnd Dezentrale Energieversorgung (DE-588)4012002-8 gnd Erneuerbare Energien (DE-588)4068598-6 gnd |
| topic_facet | Computational intelligence Power electronics Artificial intelligence Engineering Intelligentes Stromnetz Dezentrale Energieversorgung Erneuerbare Energien Aufsatzsammlung |
| work_keys_str_mv | AT vinothkumarb intelligentparadigmsforsmartgridandrenewableenergysystems AT pandiansivakumar intelligentparadigmsforsmartgridandrenewableenergysystems AT rajansingaravelmm intelligentparadigmsforsmartgridandrenewableenergysystems AT k intelligentparadigmsforsmartgridandrenewableenergysystems |