Tasarruf Bashir
Impact in
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- Grey System Theory Applications
- Stock Market Forecasting Methods
Papers in
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- Energy Load and Power Forecasting 2
- Silicon Carbide Semiconductor Technologies 1
- Multilevel Inverters and Converters 1
- Power Systems and Technologies 1
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- Solar Radiation and Photovoltaics 1
- Co-authors
- Muhammad Faizan Tahir (1 shared paper)Huifang Wang (1 shared paper)Mustafa Tahir (1 shared paper)Yixiang Zhang (1 shared paper)Haoyong Chen (1 shared paper)Felix Last (1 shared paper)T. Pompl (1 shared paper)Muhammad Shahid Mastoi (1 shared paper)
In The Last Decade
Tasarruf Bashir
7 papers receiving 254 citations
Tasarruf Bashir's Hit Papers
Peers
Comparison fields: 5 of 48
- Energy Engineering and Power Technology 16
- Management Science and Operations Research 56
- Electrical and Electronic Engineering 198
- Artificial Intelligence 66
- Building and Construction 27
Countries citing papers authored by Tasarruf Bashir
This map shows the geographic impact of Tasarruf Bashir'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 Tasarruf Bashir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tasarruf Bashir more than expected).
Fields of papers citing papers by Tasarruf Bashir
This network shows the impact of papers produced by Tasarruf Bashir. 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 Tasarruf Bashir. The network helps show where Tasarruf Bashir may publish in the future.
Co-authors
The 12 scholars most cited alongside Tasarruf Bashir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Short term electricity load forecasting using hybrid prophet-LSTM model optimized by BPNN Hit paper breakdown → | 2022 | 176 |
| 2 | Wind and solar power forecasting based on hybrid CNN-ABiLSTM, CNN-transformer-MLP models Hit paper breakdown → | 2024 | 69 |
| 3 | 2021 | 6 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 2 | |
| 6 | 2026 | 2 | |
| 7 | 2022 | 1 |
About Tasarruf Bashir
Tasarruf Bashir is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 7 papers that have together received 259 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (2 papers), Nonlinear Dynamics and Pattern Formation (1 paper), Silicon Carbide Semiconductor Technologies (1 paper), VLSI and Analog Circuit Testing (1 paper), Neural Networks Stability and Synchronization (1 paper), Solar Radiation and Photovoltaics (1 paper), Multilevel Inverters and Converters (1 paper) and Power Systems and Technologies (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (16 citations), Management Science and Operations Research (56 citations), Electrical and Electronic Engineering (198 citations), Artificial Intelligence (66 citations) and Building and Construction (27 citations). Tasarruf Bashir has collaborated with scholars based in China, Germany and Jordan. Frequent co-authors include Muhammad Faizan Tahir, Huifang Wang, Mustafa Tahir, Yixiang Zhang, Haoyong Chen, Felix Last, T. Pompl, Muhammad Shahid Mastoi, Mannan Hassan and Atazaz Hassan. Their work appears in journals such as Energy Reports, IEEE Transactions on Device and Materials Reliability, IEEE Transactions on Circuits & Systems II Express Briefs, International Journal of Electrical Power & Energy Systems and Energy Strategy Reviews.
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.