
Applied Soft Computing and Embedded System Applications in Solar Energy
Description
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Examines the integration of hardware with stand-alone PV panels and real-time monitoring of factors affecting the efficiency of the PV panels
Offers real-time implementation of soft computing and embedded system in the area of solar energy
Discusses how soft computing plays a huge role in the prediction of efficiency of stand-alone and grid-connected solar PV systems
Discusses how embedded system applications with smart monitoring can control and enhance the efficiency of stand-alone and grid-connected solar PV systems
Explores swarm intelligence techniques for solar PV parameter estimation
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 of R&D in the University of Petroleum and Energy Studies (UPES), Dehradun, India.
Mr. Abhishek Sharma is working as a research scientist in the 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.
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Persons
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.
Content
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
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