Buch, Englisch, Band 820, 306 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 647 g
Select Proceedings of 3rd International Conference, ESDA 2020
Buch, Englisch, Band 820, 306 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 647 g
Reihe: Lecture Notes in Electrical Engineering
ISBN: 978-981-16-7273-6
Verlag: Springer Nature Singapore
This book gathers selected research papers presented at the Third International Conference on Energy Systems, Drives, and Automations (ESDA 2020). It covers a broad range of topics in the fields of renewable energy, power management, drive systems for electrical machines, and automation. In a spam of about a few interesting articles, effort had gone in to critically discuss about the control system, energy management and distribution in a unified approach common to electrical, Control and mechanical engineering. This book also comprehensively discusses a variety of related tools and techniques and will be a valuable resource for researchers, professionals, and students in electrical and mechanical engineering disciplines.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Energietechnik | Elektrotechnik Energietechnik & Elektrotechnik
- Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft Energiewirtschaft: Alternative & Erneuerbare Energien
Weitere Infos & Material
Industrial Scenario of Renewable Energy BasedElectromobility.- Covid-19: Impact Analysis on Power Sector (A Comprehensive Review on Demand Change).- Electricity Price Forecasting using LSTM Network and K-means clustering by considering the effect of wind power generation.- Solid waste management challenges in India.- Electrochemical conversion of CO2 into useful chemicals and PKL electricity.- Graphical Approach to Recognize Optimal Distribution Network Reconfiguration.