Artificial Intelligence Techniques in Power Systems Operations and Analysis (Hardcover)

Chapter 1. Faults Diagnosis Using AI and MLHameed Khan, Kamal Kumar Kushwah, Pradeep Kumar Jhinge1, Gireesh Gaurav Soni, Ravi Kant Choubey, and Rupesh Kushwa Chapter 2. Load Frequency Control for Multi Area Power System Using PSO-based TechniqueSiddharth Shukla, Amit Gupta, and Ruchi Pandey Chapter 3. Power Quality Enhancement by PV-UPQC for Non-linear Load Eknath Borkar Chapter 4. A Hybrid Energy Management for Standalone Microgrids using Grey Wolf Optimization SystemSiddharth Shukla and Amit Gupta Chapter 5. Energy Management of Nanogrid through Flair of Deep learning From IoT EnvironmentsVandana Sondhiya, Kaustubh Dwivedi, Shekh Kulsum Almas, and Nagendra Singh Chapter 6. An Elitism-Based SAMP-JAYA Algorithm for Optimal VA Loading of Unified Power Quality ConditionerSwati Gade and Rahul Agrawal Chapter 7. Applications of Artificial IntelligenceAnita Soni Chapter 8. Role of Artificial Intelligence and Machine Learning in Power Systems with Fault Detection and DiagnosisAnjali Nighoskar, Shivani Gautam, and Kamini Lamba Chapter 9. AC Power Optimization Techniques Anita Soni and Anuprita Mishra Chapter 10. The Optimal Solution of Combined Heat and Power Economic Dispatch Integrating with the Renewable Energy SourceParamjeet Kaur and Krishna Teerth Chaturvedi Chapter 11. Data Transformation: A Preprocessing Stage in Machine Learning Regression ProblemsAkshay Jadhav, Devashish Dhaulakhandi, Shishir Kumar Shandilya, Lokesh Malviya, and Arvind Mewada Chapter 12. Machine Learning-based Native Language IdentificationDasangam Venkat Nikhil, Rupesh Kumar Dewang, Buvaneish Sundar, Ayush Agrawal, Ananta Narayan Shrestha, Akash Tiwari, and Arvind Mewada Chapter 13. Artificial Intelligence and Machine Learning Techniques in Power Systems AutomationAmar Nayak and Rachana Kamble