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English
Elsevier - Health Sciences Division
02 December 2025
The PyPSA Handbook: Integrated Power System Analysis and Renewable Energy Modeling
By:   , ,
Imprint:   Elsevier - Health Sciences Division
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 152mm, 
Weight:   450g
ISBN:   9780443266317
ISBN 10:   044326631X
Pages:   302
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
1. Introduction to Power Systems and PyPSA 2. Getting Started with PyPSA 3. Modeling Components in PyPSA 4. Advanced Modeling Techniques 5. Decarbonization and Renewable Integration 6. Microgrids and Distributed Energy Resources (DERs) 7. Transmission Planning and Expansion 8. Reliability and Resilience 9. Integrating PyPSA with Other Tools 10. Future Trends and Challenges

Dr. Neeraj Dhanraj Bokde is a Lead Researcher at the Technology Innovation Institute (TII), Abu Dhabi, with over 12 years of interdisciplinary experience in renewable energy, data science, and AI. He has held academic positions at Aarhus University in Denmark and contributed to applied research at DEWA and VNIT Nagpur. Dr. Bokde develops open-source tools in R and Python for data analysis, forecasting, and optimization. His work supports the energy transition through transparent modeling, advanced analytics, and integrated planning strategies. He has published extensively in the fields of energy modeling, renewable integration, and data-driven decision support. Dr. Carlo Fanara is Executive Director of the Energy Modelling team at the Technology Innovation Institute (TII), Abu Dhabi. He has extensive experience spanning nuclear and plasma physics, materials science, and machine learning, and has held academic and industrial roles across Europe. He holds a Ph.D. in plasma physics and has led research in energy beams, diagnostics systems, and data-driven modeling. His current work focuses on advancing energy systems analysis through high-performance computing, algorithm design, and applied data science. He is member of the IEEE Nuclear and Plasma Physics division and ordinary member of the ACM.

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