S. N. V. Bramareswara Rao Editor at IgMin Research
We seek to unite different scientific sectors to stimulate growth and advance collective expertise.
Biography
He received a Bachelor of Engineering degree in Electrical and Electronics Engineering in 2008 an Master of Engineering degree in Power Systems and Automation in 2015 and a Ph. D. degree in 2022 from Andhra University, Visakhapatnam. He is the recipient of MHRD stipend in 2014 and a prestigious Visvesvaraya PhD fellowship in 2023 from Digital India Corporation, Ministry of Electronics and IT, Govt. of India.
He has 15 years of teaching experience including 5 years of research experience. Currently, he is working as an Associate Professor in the department of E.E.E., Sir C. R. Reddy College of Engineering, Eluru, Andhra Pradesh, India. He has published several research papers in National/International conferences/Journals. He is an active reviewer of IEEE, Tailor and Francis, Wiley, IJCDS, Bulletin of Electrical and Engineering, etc. He is also the editor of Green Electricity Journal, STM Journal's research area includes hybrid power systems, microgrids, renewable energy sources, AI applications to power systems, and power quality.
Research Interest
Microgrids; Power Quality Improvement; Artificial Intelligence and Machine Learning applications to power systems, Renewable Energy Systems; Load forecasting techniques.
Editor
Work Details
Associate Professor
Jawaharlal Nehru Technological University
Department of Electrical and Electronics Engineering
India
Contribution by Topic Area
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- A New Modification of Classification of Traumatic Patients with Pelvic Fracture
- Potentially Toxic Metals in Cucumber Cucumis sativus Collected from Peninsular Malaysia: A Human Health Risk Assessment
- Analytical Expressions of the Markov Chain of K-Ras4B Protein within the Catalytic Environment and a New Markov-State Model
- Communication Training at Medical School: A Quantitative Analysis
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
- The Impact of Stress on Periodontal Health: A Biomarker-Based Review of Current Evidence
