Applied Mathematical Modeling and Analysis in Renewable Energy (eBook, PDF)
Redaktion: Sahni, Manoj; Sahni, Ritu
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Applied Mathematical Modeling and Analysis in Renewable Energy (eBook, PDF)
Redaktion: Sahni, Manoj; Sahni, Ritu
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This reference text introduces latest mathematical modeling techniques and analysis for renewable energy systems. It will serve as a useful text for graduate students and academic researchers in the fields of electrical engineering, environmental engineering, mechanical engineering, and civil engineering.
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This reference text introduces latest mathematical modeling techniques and analysis for renewable energy systems. It will serve as a useful text for graduate students and academic researchers in the fields of electrical engineering, environmental engineering, mechanical engineering, and civil engineering.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 212
- Erscheinungstermin: 4. Oktober 2021
- Englisch
- ISBN-13: 9781000455113
- Artikelnr.: 62520168
- Verlag: Taylor & Francis
- Seitenzahl: 212
- Erscheinungstermin: 4. Oktober 2021
- Englisch
- ISBN-13: 9781000455113
- Artikelnr.: 62520168
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Manoj Sahni is working as an Associate Professor and Head, Department of Mathematics in Pandit Deendayal Energy University, Gandhinagar since last seven years and having total academic and research experience of more than 17 years. During the last 17 years; he has worked with Jaypee Institute of Information Technology, Noida, Navrachna University, Vadodara and PDEU Gandhinagar. During this period, he has published more than sixty research papers in various International Journals and Conference proceedings. He is the Life Member of various societies such as Indian Science Congress, Indian Mathematical Society, Allahabad Mathematical Society, etc. He has successfully coordinated various events of following types: International Conference, Expert Lectures, Seminars and Workshops, etc. He is the reviewer of various reputed International Journals. His research area includes Continuum Mechanics, Functionally graded materials, Fuzzy Sets and Numerical methods. Ritu Sahni is an Assistant Professor in the Department of Physical Sciences, Institute of Advanced Research, Gandhinagar from the last 6 years. Previously she worked at Jaypee Institute of Information Technology, Noida and Navrachna University, Vadodara. Her total experience of teaching and research is approximately 12 years. She has published more than 35 research papers in various International Journals and Conference Proceedings. She is a Life Member of various prestigious societies such as Indian Science Congress, Indian Mathematical Society, etc. Currently she is working in the area of fixed-point theory and fuzzy modelling.
1. Mathematical Modeling of Transitional Fluid Phase Flows in Coal bed
Methane Reservoir. 2. AI based detection and localization of
gastrointestinal polyps by using deep learning, transfer learning and the
fusion of these techniques. 3. Mathematical Modeling of an EOQ for a
Multi-item Inventory System with Selling Price and Price Break Sensitive
Demand. 4. Fair Allocation of Items: A Comprehensive Study. 5. Hierarchical
Demand Response Controller. 6. A General Class of Polynomials inspired by a
general Lagrange's inversion pair due to Gessel and Stanton. 7. Squeezing
Graph. 8. Finding the Surface Area and Volume of the Hyperspheres Using
Simple Calculus. 9. Analysis of RSM method for optimization of
Ultrasound-assisted KOH catalyzed biodiesel production from waste
cotton-seed cooking oil. 10. Energy Data Analysis of an Educational
Institution in India. 11. Factors to consider: A review of smart grid
implementation in India. 12. Integration and Modeling of Small-Scale Pumped
Storage with Micro Optimization Model (HOMER).
Methane Reservoir. 2. AI based detection and localization of
gastrointestinal polyps by using deep learning, transfer learning and the
fusion of these techniques. 3. Mathematical Modeling of an EOQ for a
Multi-item Inventory System with Selling Price and Price Break Sensitive
Demand. 4. Fair Allocation of Items: A Comprehensive Study. 5. Hierarchical
Demand Response Controller. 6. A General Class of Polynomials inspired by a
general Lagrange's inversion pair due to Gessel and Stanton. 7. Squeezing
Graph. 8. Finding the Surface Area and Volume of the Hyperspheres Using
Simple Calculus. 9. Analysis of RSM method for optimization of
Ultrasound-assisted KOH catalyzed biodiesel production from waste
cotton-seed cooking oil. 10. Energy Data Analysis of an Educational
Institution in India. 11. Factors to consider: A review of smart grid
implementation in India. 12. Integration and Modeling of Small-Scale Pumped
Storage with Micro Optimization Model (HOMER).
1. Mathematical Modeling of Transitional Fluid Phase Flows in Coal bed
Methane Reservoir. 2. AI based detection and localization of
gastrointestinal polyps by using deep learning, transfer learning and the
fusion of these techniques. 3. Mathematical Modeling of an EOQ for a
Multi-item Inventory System with Selling Price and Price Break Sensitive
Demand. 4. Fair Allocation of Items: A Comprehensive Study. 5. Hierarchical
Demand Response Controller. 6. A General Class of Polynomials inspired by a
general Lagrange's inversion pair due to Gessel and Stanton. 7. Squeezing
Graph. 8. Finding the Surface Area and Volume of the Hyperspheres Using
Simple Calculus. 9. Analysis of RSM method for optimization of
Ultrasound-assisted KOH catalyzed biodiesel production from waste
cotton-seed cooking oil. 10. Energy Data Analysis of an Educational
Institution in India. 11. Factors to consider: A review of smart grid
implementation in India. 12. Integration and Modeling of Small-Scale Pumped
Storage with Micro Optimization Model (HOMER).
Methane Reservoir. 2. AI based detection and localization of
gastrointestinal polyps by using deep learning, transfer learning and the
fusion of these techniques. 3. Mathematical Modeling of an EOQ for a
Multi-item Inventory System with Selling Price and Price Break Sensitive
Demand. 4. Fair Allocation of Items: A Comprehensive Study. 5. Hierarchical
Demand Response Controller. 6. A General Class of Polynomials inspired by a
general Lagrange's inversion pair due to Gessel and Stanton. 7. Squeezing
Graph. 8. Finding the Surface Area and Volume of the Hyperspheres Using
Simple Calculus. 9. Analysis of RSM method for optimization of
Ultrasound-assisted KOH catalyzed biodiesel production from waste
cotton-seed cooking oil. 10. Energy Data Analysis of an Educational
Institution in India. 11. Factors to consider: A review of smart grid
implementation in India. 12. Integration and Modeling of Small-Scale Pumped
Storage with Micro Optimization Model (HOMER).