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Renewable Energy Optimization, Planning and Control: Proceedings of Icrte 2021, Volume 1 (en Inglés)
Anita Khosla
(Ilustrado por)
·
Monika Aggarwal
(Ilustrado por)
·
Springer
· Tapa Blanda
Renewable Energy Optimization, Planning and Control: Proceedings of Icrte 2021, Volume 1 (en Inglés) - Khosla, Anita ; Aggarwal, Monika
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Reseña del libro "Renewable Energy Optimization, Planning and Control: Proceedings of Icrte 2021, Volume 1 (en Inglés)"
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.
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