Applied Soft Computing and Embedded System Applications in Solar Energy (eBook, PDF)

Redaktion: Kumar Pachauri, Rupendra; Ram, Mangey; Nautiyal, Om; Sharmu, Abhishek; Kumar Pandey, Jitendra

• Format: PDF

Produktbeschreibung

This book deals with energy systems and soft-computing methods from a wide range of approaches and application perspectives. The authors examine how embedded system applications can deal with the smart monitoring and controlling of stand-alone and grid connected solar PV systems for increased efficiency.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 254
• Erscheinungstermin: 26. Mai 2021
• Englisch
• ISBN-13: 9781000391695
• Artikelnr.: 61368046

Autorenporträt

Dr. Rupendra Kumar Pachauri is Assistant Professor- Selection Grade in the Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, India. Dr. Jitendra Kumar Pandey is Professor & Head R&D in the University of Petroleum and Energy Studies (UPES), Dehradun, India. Mr. Abhishek Sharma is working as a research scientist in research and development department (UPES, India). Dr. Om Prakash Nautiyal is working as a 'Scientist' in Uttarakhand Science Education & Research Centre (USERC), Department of Information and Science Technology, Govt. of Uttarakhand, Dehradun, India. Prof. Mangey Ram is working as a Research Professor at Graphic Era Deemed to be University, Dehradun, India.

Inhaltsangabe

1. MPPT Control Systems for PV Power Plants.
2. Relay Coordination Optimization for Solar PV Integrated Grid Using the
Water Cycle Optimization Algorithm.
3. Experimental Investigation of Performance of PV Array Topologies under
Simulated PSCs.
4. Artificial Intelligence in PV System.
5. Thermodynamic Approaches and Techniques for Solar Energy Conversion.
6. Memristive Behavior: Tool for Fault Detection and Repairing Dye Solar
Cells.
7. Development of IoT-Based Data Acquisition System for Real-Time
Monitoring of Solar PV System.
8. Marine Photovoltaics - An IoT-Integrated Approach to Enhance Efficiency.
9. Deep Learning Approach towards Solar Energy Forecast.
10. The Imperative Role of Solar Power Assistance for Embedded Based
Climatic Parameters Measurement Systems.
11. IoT with Automation Clustering to Detect Power Losses with Energy
Consumption and Survey of Defense Machinery against Attacks