Chetan B. Khadse

17 papers receiving 230 citations

Hit Papers

Machine learning-based energy management and power foreca...2024202620252024204060

Peers

Chetan B. Khadse
Comparison fields: 5 of 63
  • Electrical and Electronic Engineering 134
  • Control and Systems Engineering 81
  • Artificial Intelligence 35
  • Automotive Engineering 31
  • Environmental Engineering 29
Replace Md. Habibur Rahman with:
Md. Habibur Rahman Bangladesh
Zihan Tao China
Jinlin Xiong China
Mohammad Zeeshan India
Kamal Bansal India
A Imdadullah India
Sadhan Gope India
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Siyu Tao China
Ehtisham Lodhi China
Chetan B. Khadse relative to Md. Habibur Rahman Bangladesh Md. Habibur Rahman's profile →
Citations per field
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Md. Habibur Rahman · 1×
Citations per year

Countries citing papers authored by Chetan B. Khadse

Since Specialization
Citations

This map shows the geographic impact of Chetan B. Khadse's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chetan B. Khadse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chetan B. Khadse more than expected).

Fields of papers citing papers by Chetan B. Khadse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chetan B. Khadse. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chetan B. Khadse. The network helps show where Chetan B. Khadse may publish in the future.

Co-authorship network of co-authors of Chetan B. Khadse

This figure shows the co-authorship network connecting the top 25 collaborators of Chetan B. Khadse. A scholar is included among the top collaborators of Chetan B. Khadse based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chetan B. Khadse. Chetan B. Khadse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Machine learning-based energy management and power forecasting in grid-connected microgrids with multiple distributed energy sourcesbreakdown →
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7 0
8 11
9 6
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14 8
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18 37
19 60
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About Chetan B. Khadse

Chetan B. Khadse is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 21 papers that have together received 240 indexed citations. Recurring topics across this work include Power Quality and Harmonics (6 papers), Advanced Electrical Measurement Techniques (4 papers) and Power Systems Fault Detection (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (14 citations), Control and Systems Engineering (81 citations) and Automotive Engineering (31 citations). Chetan B. Khadse has collaborated with scholars based in India, Ukraine and China. Frequent co-authors include Vijay B. Borghate, Madhuri A. Chaudhari, Mohit Bajaj, Arvind R. Singh, Євген Зайцев, R. Seshu Kumar, Bharat S. Chaudhari, H. M. Suryawanshi, Mohan V. Aware and Yogesh Tatte. Their work appears in journals such as Scientific Reports, IEEE Transactions on Industrial Informatics and International Journal of Electrical Power & Energy Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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