Renewable Energy Optimization, Planning and Control
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Renewable Energy Optimization, Planning and Control

Renewable Energy Optimization, Planning and Control


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Chapter 1. A Review on Power Quality İmprovement of Grid Connected PV With Lithium-ion and Super Capacitor Based Hybrid Energy Storage System Using a New Control Strategy.- Chapter 2. Influence of Alternative Fuels on Exhaust Emissions of IC Engine-A Review.- Chapter 3. Hybrid Energy System For An Academic Institution: A Case Study.- Chapter 4. Challenges to Mini-Grids: An alternative to Rural Electrification.- Chapter 5. Comparative Analysis of Family of Luo Converter for Renewable Energy Applications.- Chapter 6. Design and modeling of L-shape piezoelectric energy harvester for powering Deep Brain Stimulation System.- Chapter 7. Solar Irradiation Forecasting by Long-Short Term Memory using Different Training Algorithms.- Chapter 8. Forecasting of Wind Speed by Using Deep Learning for Optimal Use of the Energy Produced by Wind Farms.- Chapter 9. Analysis of Predictive Current Control Technique in Wind EnergyConversion System.- Chapter 10. Genetic Algorithm based Intelligent Control Strategy for Multi Input Multi Output DC-DC Converter.- Chapter 11. Wavelet Transform Based Comparative Analysis of Wind Speed Forecasting Techniques.- Chapter 12. Maximization of Energy Production from Sholayar Hydropower Plant in India.- Chapter 13. Cuk based Single Phase Inverter Design for PV Array Systems.- Chapter 14. Support Vector Machine based Forecasting for Renewable Energy Systems.- Chapter 15. Efficiency Improvement of PV Panel Using PCM Cooling Technique.- Chapter 16. Parametric Identification AlgorithmUsing Chebyshev-Laguerre Functions.- Chapter 17. Analysis of Piezoelectric Energy harvesting schemes and a proposition for state-of-the-art approach in Hydro-electric power generation.

About the Author:

Dr. Anita Khosla is working as Professor in the Department of Electrical and Electronics Engineering at Faculty of Engineering and Technology, Manav Rachna International Institute of Research and Studies, University Faridabad (Haryana). She completed B.Tech. in Electrical Engineering from National Institute of Technology, Kurukshetra. She did her M.Tech. in ECE and Ph.D. in Control Systems (Electrical Engineering) from Manav Rachna International Institute of Research and Studies, University Faridabad (Haryana). She has a rich experience of 26 years in teaching. She has published 40 research papers in National, International Journals of high repute and conferences. She is Author of three books, and one more is under progress. She has attended and organized many workshops, FDPs and seminars. She has been a Session Speaker also. She is Member of technical societies--Institution of Engineers and ISTE. She was Reviewer of book chapters for Pearson Publishers.

Dr. Monika Aggarwal is working as Professor in Centre for Applied Research in Electronics--Indian Institute of Technology, Delhi. She received the B.Tech. degree in Electrical Engineering and the M.Tech. degree in Electronics and Communication Engineering from the Regional Engineering College, Kurukshetra, India, in 1993 and 1995. She has done Ph. D. degree with Specialization in Signal Processing and Communications from the Indian Institute of Technology, New Delhi, India, in 2000, respectively. She was employed with Hughes Software Systems (HSS), Gurgaon, India, from 1999 to 2002. During 2001, she was Visiting Researcher in the Department of Systems and Control, Uppsala University, Uppsala, Sweden. She has published 62 research papers in National, International Journals of high repute and conferences and was also involved in funded research projects. She has been delivered many expert lectures on signal processing.


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Product Details
  • ISBN-13: 9789811646652
  • Publisher: Springer Nature Singapore
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Proceedings of Icrte 2021, Volume 1
  • Width: 156 mm
  • ISBN-10: 9811646651
  • Publisher Date: 30 Sep 2022
  • Height: 234 mm
  • No of Pages: 186
  • Spine Width: 11 mm
  • Weight: 340 gr


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Renewable Energy Optimization, Planning and Control
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