Abstract is missing.
- An overview of renewable energy sources: technologies, applications and role of artificial intelligenceVikram Singh, Mukesh Prasad, R. S. Aswal, Utpal Shrivastava, Tapas Sharma, Narendra K. Patel. 1-14 [doi]
- Artificial intelligence for renewable energy strategies and techniquesRicha Saxena, Vaishnavi Srivastava, Dipti Bharti, Rahul Singh, Amit Kumar. 17-39 [doi]
- Computer vision-based regression techniques for renewable energy: predicting energy output and performanceArindam Chaudhuri, Richard Jiang 0001. 41-66 [doi]
- Utilization of computer vision and machine learning for solar power predictionSunil Kumar Choudhary, Arindam Mondal. 67-84 [doi]
- Exploring data-driven multivariate statistical models for the prediction of solar energyPrajnyajit Mohanty, Krityeeprava Subhadarshini, Rashmiranjan Nayak, Umesh Chandra Pati, Kamalakanta Mahapatra. 85-101 [doi]
- Solar energy generation and power prediction through computer vision and machine intelligenceDipanjan Rout, Naman Shyamsukha, Harshit Mittal, Omkar Singh Kushwaha. 103-123 [doi]
- A machine intelligence model based on random forest for data related renewable energy from wind farms in BrazilReinaldo Padilha França, Rodrigo Bonacin, Ana Carolina Borges Monteiro. 127-139 [doi]
- Bioenergy prediction using computer vision and machine intelligence: modeling and optimization of bioenergy productionRuchita Shrivastava, Raju Rajak, Akash, Sanjay Kumar, Richa Saxena. 141-162 [doi]
- Artificial intelligence and machine intelligence: modeling and optimization of bioenergy productionLeena Saju, Devi Selvaraj, Tharmaraj Vairaperumal. 163-176 [doi]
- Advancing bioenergy: leveraging artificial intelligence for efficient production and optimizationSayan Adhikary, Srijaa Sau, Shrestha Debnath, Dipankar Ghosh. 177-186 [doi]
- Image acquisition and processing techniques for crucial component of renewable energy technologies: mapping of rare earth element-bearing peralkaline granitesRonak Jain, Ashutosh Kumar Pandey. 187-222 [doi]
- Energy storage using computer vision: control and optimization of energy storageHarpreet Kaur Channi, Pulkit Kumar, Ramandeep Sandhu, Fathy A. Syam. 223-239 [doi]
- Classification techniques for renewable energy: identifying renewable energy sources and featuresSaif Ali Akhtar, Dikeshwar Kurre, Sandeep Samantaray. 241-279 [doi]
- Machine learning in renewable energy: classification techniques for identifying sources and featuresHarpreet Kaur Channi, Pulkit Kumar. 281-294 [doi]
- Advancing the frontier: hybrid renewable energy technologies for sustainable power generationLata Rani, Nitin Jangra, Komal Thapa, Arun Lal Srivastav, Eric D. van Hullebusch, Vivek Puri. 295-304 [doi]
- Transfer learning for renewable energy: fine-tuning and domain adaptationAhmet Demir, Atabak Najafi, Hakan Acaroglu. 305-314 [doi]
- Exploring the artificial intelligence in renewable energy: a bibliometric study using R Studio and VOSviewerNisha Kumari, Mukesh Kondala. 317-333 [doi]
- Future directions of computer vision and AI for renewable energy: trends and challenges in renewable energy research and applicationsHumairah Hamid, Sandeep Samantaray. 335-361 [doi]