Sustainable developments by artificial intelligence and machine learning for renewable energies. (2022)

• Record Type: Book
• Further Information: Note: Edited by Krishna Kumar, Ram Shringar Rao, Omprakash Kaiwartya, Shamim Kaiser, Sanjeevikumar Padmanaban.
• Editors: Engineer, Kumar, Krishna; Rao, Ram Shringar, 1973-; Kaiwartya, Omprakash, 1981-; Kaiser, Shamim; Padmanaban, Sanjeevikumar
• Contents: 1. Application of Alternative Clean Energy 2. Optimization of Hybrid energy generation 3. IoET-SG: Integrating Internet of Energy Things with Smart Grid 4. Evolution of High Efficiency PERC Solar Cells 5. Online Based Approach for Frequency Control of Micro- Grid Using Biological Inspired Based Intelligent Controller 6. Optimal Allocation of Renewable Energy Sources in Electrical Distribution Systems Based on Technical and Economic Indexes 7. Optimization of Renewable Energy Sources Using Emerging Computational Techniques 8. Advanced renewable dispatch with machine-learning based hybrid demand-side controller: state-of-the-art and a novel approach 9. Machine learning-based robust and reliable design on PCMs-PV systems with multi-level scenario uncertainty 10. Agent-based peer-to-peer energy trading between prosumers and consumers with cost-benefit business models 11. Machine learning-based hybrid demand-side controller for renewable energy management 12. Prediction of Energy Generation Target of Hydropower Plants using Artificial Neural Network 13. Response surface methodology based optimization of Parameters for Biodiesel Production 14. Reservoir Simulation Model for the Design of Irrigation Project 15. Effect of Hydrofoils on the Starting Torque Characteristics of Darrieus Hydrokinetic Turbine
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 621.042028563; Renewable energy sources -- Data processing; Artificial intelligence -- Engineering applications
• Languages: English
• ISBNs: 9780323914284
• Related ISBNs: 9780323912280
• Notes: Note: Description based on CIP data; resource not viewed.
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