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ORCIDComputer Vision and Machine Intelligence for Renewable Energy Systems 2024
- Ashutosh Kumar Dubey
, Arun Lal Srivastav, Abhishek Kumar, Umesh Chandra Pati, Fausto Pedro García Márquez, Vicente García-Díaz:
Computer Vision and Machine Intelligence for Renewable Energy Systems. Advances in Intelligent Energy Systems, Elsevier 2024, ISBN 978-0-443-28947-7 - Vikram Singh, Mukesh Prasad, R. S. Aswal, Utpal Shrivastava, Tapas Sharma, Narendra K. Patel:
An overview of renewable energy sources: technologies, applications and role of artificial intelligence. 1-14 - Richa Saxena, Vaishnavi Srivastava, Dipti Bharti, Rahul Singh, Amit Kumar:
Artificial intelligence for renewable energy strategies and techniques. 17-39 - Arindam Chaudhuri, Richard Jiang:
Computer vision-based regression techniques for renewable energy: predicting energy output and performance. 41-66 - Sunil Kumar Choudhary, Arindam Mondal:
Utilization of computer vision and machine learning for solar power prediction. 67-84 - Prajnyajit Mohanty, Krityeeprava Subhadarshini, Rashmiranjan Nayak, Umesh Chandra Pati, Kamalakanta Mahapatra:
Exploring data-driven multivariate statistical models for the prediction of solar energy. 85-101 - Dipanjan Rout, Naman Shyamsukha, Harshit Mittal, Omkar Singh Kushwaha:
Solar energy generation and power prediction through computer vision and machine intelligence. 103-123 - Reinaldo Padilha França, Rodrigo Bonacin, Ana Carolina Borges Monteiro:
A machine intelligence model based on random forest for data related renewable energy from wind farms in Brazil. 127-139 - Ruchita Shrivastava, Raju Rajak, Akash, Sanjay Kumar, Richa Saxena:
Bioenergy prediction using computer vision and machine intelligence: modeling and optimization of bioenergy production. 141-162 - Leena Saju, Devi Selvaraj, Tharmaraj Vairaperumal:
Artificial intelligence and machine intelligence: modeling and optimization of bioenergy production. 163-176 - Sayan Adhikary, Srijaa Sau, Shrestha Debnath, Dipankar Ghosh:
Advancing bioenergy: leveraging artificial intelligence for efficient production and optimization. 177-186 - Ronak Jain, Ashutosh Kumar Pandey:
Image acquisition and processing techniques for crucial component of renewable energy technologies: mapping of rare earth element-bearing peralkaline granites. 187-222 - Harpreet Kaur Channi, Pulkit Kumar, Ramandeep Sandhu, Fathy A. Syam:
Energy storage using computer vision: control and optimization of energy storage. 223-239 - Saif Ali Akhtar, Dikeshwar Kurre, Sandeep Samantaray:
Classification techniques for renewable energy: identifying renewable energy sources and features. 241-279 - Harpreet Kaur Channi, Pulkit Kumar:
Machine learning in renewable energy: classification techniques for identifying sources and features. 281-294 - Lata Rani, Nitin Jangra, Komal Thapa, Arun Lal Srivastav, Eric D. van Hullebusch, Vivek Puri:
Advancing the frontier: hybrid renewable energy technologies for sustainable power generation. 295-304 - Ahmet Demir, Atabak Najafi, Hakan Acaroglu:
Transfer learning for renewable energy: fine-tuning and domain adaptation. 305-314 - Nisha Kumari, Mukesh Kondala:
Exploring the artificial intelligence in renewable energy: a bibliometric study using R Studio and VOSviewer. 317-333 - Humairah Hamid, Sandeep Samantaray:
Future directions of computer vision and AI for renewable energy: trends and challenges in renewable energy research and applications. 335-361
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