Murali Krishna V.B

About

Dr. V B Murali Krishna has a doctorate degree in Electrical Engineering from Central University of Karnataka, India. Since 2023 January he is associated with Department of Electrical Engineering, National Institute of Technology Andhra Pradesh as a teaching faculty & Research Associate-II at Department of Scientific and Industrial Research (DSIR) - Common Research and Technology Development Hub (CRTHD), India.
Dr. Krishna is serving as an active reviewer for more than twenty-five international journals and five series of international conferences and few honored with Reviewer of Excellence award certifications.
Dr. Krishna’s research interests include renewable energy systems; distribution power generation; electric machines; smart and micro grids; power and energy; electric vehicle technologies; adaptive technologies, Internet of Things (IoT); control, optimization of systems; electronic devices; data analysis and machine learning; artificial intelligence.
Email: [email protected]
Contact: +917780124508

Employment

• National Institute of Technology Andhra Pradesh Teaching Faculty
• Central University of Karnataka

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (50)

• Editorial article (Special Issue): Measurement, control and security of systems for smart cities
  Measurement: Sensors 2026 DOI: 10.1016/j.measen.2026.101990
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• Machine learning-based wind speed forecasting: a comparative study
  Scientific Reports 2025 DOI: 10.1038/s41598-025-24640-1
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• Transient Energy Based Fault Identification in Medium Voltage Collector Lines for DFIG-Based Wind Farms
  2025 DOI: 10.1007/978-981-96-0104-2_18
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• TWO STAGE ENERGY MANAGEMENT FOR MAXIMIZING RENEWABLE ENERGY PENETRATION
  Engineering Review 2025 DOI: 10.30765/er.2688
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• Solar-Powered Pumping for Alleviating Energy Poverty: Sustainable Solutions for Agriculture Sector in Portugal
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3579783
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• Optimal Energy Management in Microgrids: A Demand Response Approach with Monte Carlo Scenario Synthesis and K-Means Clustering
  International Journal of Computational and Experimental Science and Engineering 2025 DOI: 10.22399/ijcesen.1023
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• Economic Analysis of Off-Grid Energy Projects: A FINPLAN Model Approach
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3561631
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• An exploratory Study on Intelligent Active Cell Balancing of Electric Vehicle Battery Management and Performance Using Machine Learning Algorithms
  Results in Engineering 2025 DOI: 10.1016/j.rineng.2025.104524
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• An Accurate Load Forecasting and Scheduling of Charging for Electric Vehicles Using Deep Learning Techniques
  Contemporary Mathematics 2025 DOI: 10.37256/cm.6420256032
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• Blockchain‐Based Anomaly Detection in Vehicular Ad‐Hoc Networks Using Deep Reinforcement Learning
  Transactions on Emerging Telecommunications Technologies 2025 DOI: 10.1002/ett.70282
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