Perovskite Solar Cells Modeling the Future of Renewable Energy

Preface

About the editors

List of contributors

1 An introduction to the solar energy: A step toward sustainability

DISHA HANDA MAHENDRU AND MATHIAS AGBEKO

2 Fundamentals of perovskite materials

MOHIT KUMAR SRIVASTAVA, PREETI AGARWAL MITTAL, KESHAV KUMAR,

VIVEK KUMAR, AND MAN MOHAN SHUKLA

3 Technology advancements in solar cells: A summary

ANITA PATI MISHRA, SHILPI SINGHAL, SHIVA SHARMA,

AJAY KUMAR GUPTA, SHAILENDER KUMAR VATS, AND POOJA BHARDWAJ

4 Recent advances in perovskite tandem solar cells for enhanced solar efficiency

PARAMASIVAM BALAKRISHNAN, JEYARAJ THAVAMANI,

AND RAMALINGAM SENTHIL

5 Modelling techniques of perovskite solar cells

PREETI AGARWAL MITTAL, SHIVANI DIXIT, ABHISHEK SINGH RATHOUR,

PRADEEP KUMAR GUPTA, AND MOHIT KUMAR SRIVASTAVA

6 Modeling the future of renewable energy: Machine learning in solar energy prediction

DIVYA SHARMA AND GUNJAN VERMA

7 Optimising hybrid electric vehicle performance by deep learning for power distribution and regenerative braking prediction in urban driving conditions

T. MARIPRASATH AND P. SARASWATHI

8 Optimization of power for solar panel optimizer using different FPGAs

MAN MOHAN SHUKLA, KESHAV KUMAR, VIVEK KUMAR, AND BISHWAJEET PANDEY

9 Advancing solar energy with machine learning, perovskite technology, and smart data systems

ADITYA VARDHAN, AMARJEET SINGH CHAUHAN, SANJAY SAINI,

AND SAGAR SHARMA

10 Machine learning for performance prediction and optimization

MUHAMMAD ATIF SAEED

11 Machine learning applications in solar energy: Predicting performance and efficiency

JYOTI SAINI, SHIVALI DEVI, JAIDEEP SINGH, AND RAVNEET SETHI

12 A novel hybrid LSTM‑XGBoost model for enhanced solar PV power generation forecasting

T. MARIPRASATH AND P. SARASWATHI

13 A comprehensive review of cybersecurity challenges in solar grids

BISHWAJEET PANDEY, AMIT KUMAR, PUSHPANJALI PANDEY, W. A. W. A. BAKAR, BAKTYGELDI ALTAIULY TASHTAY, AND KAMINI SIMI BAJAJ

14 Harnessing machine learning for solar energy forecasting: Advancing perovskite solar cells and renewable energy solutions

PRANATI RAKSHIT, PRIYANSHU PAL, SABYASACHI PRAMANIK, AND UDDALAK MITRA

15 Toward secure solar energy systems a cyber perspective

SHAIK MAHMMAD NAZIR AND ABHISHEK JAIN

16 Thermal and power‑efficient hardware design of solar panel on reconfigurable architecture

MAN MOHAN SHUKLA, KESHAV KUMAR, VIVEK KUMAR, AND BISHWAJEET PANDEY

17 Solar charge controller design on FPGA

PREETI AGARWAL MITTAL, MOHIT KUMAR SRIVASTAVA, VAIBHAV PURWAR,

VIVEK KUMAR, MAN MOHAN SHUKLA, AND KRISHAN KUMAR GARG

18 Exploring the role of solar energy in advancing agricultural practices

ANKIT JAIN, ANITA SHUKLA, IMRAN ULLAH KHAN, AND PUSPRAJ SINGH CHAUHAN

19 Machine learning in solar energy prediction

MOHIT KUMAR SRIVASTAVA, PREETI AGARWAL MITTAL, ANKIT JAIN, ARTI SAXENA, VIVEK KUMAR, AND MAN MOHAN SHUKLA

20 Real‑time solar panel performance monitoring and energy forecasting

ANITA SHUKLA, ANKIT JAIN, PUSPRAJ SINGH CHAUHAN, AND IMRAN ULLAH KHAN

21 Solar energy to sustainable development goals: A case study

KESHAV KUMAR, MAN MOHAN SHUKLA, BISHWAJEET PANDEY,

AND KAMINI SIMI BAJAJ

22 Advancements and challenges in all‑perovskite tandem solar cells: A critical review

ANITA SHUKLA, ANKIT JAIN, PUSPRAJ SINGH CHAUHAN, AND IMRAN ULLAH KHAN

Index

Biography

Arthur James Swart is currently working as an Associate Professor in the Department of Electrical Electronics and Computer Engineering at the Central University of Technology, South Africa. His research interests include engineering education and alternative energy. He worked for Telkom SA and De Beers Namaqualand Mines for 4 years. He joined the Vaal University of Technology in 1995 and progressed from a Technician to a Senior Lecturer in 2007. He completed his MEd in 2007 and his DTech in 2011. He has always loved teaching, but his passion for research took time to develop. Research affords one the opportunity to engage in life‑long learning, which will always remain his primary goal and which he is currently pursuing at the Central University of Technology.

Keshav Kumar is an Assistant Professor in the Department of Electronics and Communication Engineering at Pranveer Singh Institute of Technology, Kanpur, India. He is pursuing his PhD in the field of Hardware Security from Lingaya’s Vidyapeeth, Faridabad, India. He has previously worked at Chandigarh University, Punjab, India (NIRF 29). He completed his Master of Engineering in ECE with a specialization in Hardware Security from Chitkara University, Punjab, India. He has also worked as a Junior Research Fellow (JRF) at NIT Patna and as an Assistant Lecturer at Chitkara University, Punjab, India. He has authored and co‑uthored many books and more than 55 research papers in the fields of hardware security, green communication, low‑ower VLSI design, machine learning techniques, and IoT. He has also worked with professors from 20 different countries. His areas of specialization include deep learning, hardware security, green communication, low‑ower VLSI design, machine learning techniques, wireless sensor network (WSN), and IoT. He has experience  in teaching Python programming, embedded systems, IoT, computer networks, and digital electronics. He is also associated with Gyancity Research Consultancy Pvt Ltd. He is also a member of IAENG. He has more than 600 citations (Google Scholar), 15 H‑index (Google Scholar), and 12 H‑Index (Scopus).

Bishwajeet Pandey is a Professor at GL Bajaj College of Technology and Management, Greater Noida, India. He has been a Senior Member of IEEE since 2019. He holds an MTech in Computer Science and Engineering from the Indian Institute of Information Technology, Gwalior, India, and a PhD in Computer Science from the Gran Sasso Science Institute, Italy. He has taught at esteemed institutions such as Chitkara University Chandigarh; Birla Institute of Applied Science, Bhimtal; Jain University, Bangalore; Astana IT University, Kazakhstan; Eurasian National University, Kazakhstan (QS World Rank 321); and UCSI University, Malaysia (QS World Rank 265). He is a prolific researcher, with 11 published books, 196 research papers indexed in Scopus, 45 papers in SCIE, and a total of 296 papers. He has garnered over 3,600 citations and holds an H‑index of 28. His leadership roles include serving as the Research Head of the School of Computer Science and Engineering at Jain University, Bangalore (2021–2023), and as the Head of the International Global Academic Partnership Committee at Birla Institute of Applied Science, Bhimtal (2020–2021). In 2023, he was honored with the prestigious Professor of the Year Award at Lord’s Cricket Ground by the London Organisation of Skills Development. Beyond his outstanding research output, his greatest strength lies in his global academic network. He has visited 49 countries, participated in 105 international conferences, and co‑uthored papers with 218 professors from 93 universities across 42 nations.

Sakshi Sharma is currently working as a Junior Research Fellow at the School of Advanced Engineering, University of Petroleum and Energy Studies, Dehradun, India. She is pursuing her PhD in Photovoltaic Systems from the University of Petroleum and Energy Studies, Dehradun, India. She successfully completed her Master of Engineering in ECE with the specialization in Hardware Security from Chitkara University, Punjab, India. She has also worked as an Assistant Lecturer at Chitkara University, Punjab, India.