Arpan Koirala

461 total citations
26 papers, 277 citations indexed

About

Arpan Koirala is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Arpan Koirala has authored 26 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 8 papers in Control and Systems Engineering and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Arpan Koirala's work include Optimal Power Flow Distribution (21 papers), Smart Grid Energy Management (13 papers) and Probabilistic and Robust Engineering Design (6 papers). Arpan Koirala is often cited by papers focused on Optimal Power Flow Distribution (21 papers), Smart Grid Energy Management (13 papers) and Probabilistic and Robust Engineering Design (6 papers). Arpan Koirala collaborates with scholars based in Belgium, Finland and Spain. Arpan Koirala's co-authors include Dirk Van Hertem, Reinhilde D’hulst, Tom Van Acker, Pablo Arboleyá, Bassam Mohamed, Md Umar Hashmi, Hakan Ergun, Frederik Geth, Cristina González‐Morán and Jiaojiao Wu and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Power Systems and IEEE Transactions on Industry Applications.

In The Last Decade

Arpan Koirala

23 papers receiving 264 citations

Peers

Arpan Koirala

EEE

CSE

SRRQ

SPU

Pei Yong China

Jessica Lau United States

Ignacio Aravena United States

Rabah Benabid Algeria

Abbas Zare Ghaleh Seyyedi Iran

Salem Elsaiah United States

Anping Zhou United States

Paul Choudhury Canada

Mahmood Reza Haghifam Iran

Xiaomin Bai China

Pei Yong China

Arpan Koirala

228 ×0.9

EEE

113 ×1.3

CSE

60 ×1.4

SRRQ

22 ×1.0

12 ×0.6

SPU

Citations per year, relative to Arpan Koirala Arpan Koirala (= 1×) peers Pei Yong

Countries citing papers authored by Arpan Koirala

Since Specialization

Citations

This map shows the geographic impact of Arpan Koirala'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 Arpan Koirala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpan Koirala more than expected).

Fields of papers citing papers by Arpan Koirala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arpan Koirala. 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 Arpan Koirala. The network helps show where Arpan Koirala may publish in the future.

Co-authorship network of co-authors of Arpan Koirala

This figure shows the co-authorship network connecting the top 25 collaborators of Arpan Koirala. A scholar is included among the top collaborators of Arpan Koirala 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 Arpan Koirala. Arpan Koirala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Koirala, Arpan, et al.. (2025). Stochastic optimal power flow for hybrid AC/DC grids considering continuous non-Gaussian uncertainty. International Journal of Electrical Power & Energy Systems. 170. 110828–110828.

Koirala, Arpan, Frederik Geth, & Tom Van Acker. (2024). Day-ahead dynamic operating envelopes using stochastic unbalanced optimal power flow. Sustainable Energy Grids and Networks. 40. 101528–101528. 2 indexed citations

Koirala, Arpan, et al.. (2024). Grid-optimal energy community planning from a systems perspective. Renewable and Sustainable Energy Reviews. 199. 114485–114485. 10 indexed citations

Hashmi, Md Umar, et al.. (2024). Event-Informed Identification and Allocation of Distribution Network Planning Candidates With Influence Scores and Binary Linear Programming. IEEE Transactions on Power Systems. 40(1). 492–504. 1 indexed citations

Koirala, Arpan, et al.. (2023). Reconfiguration to Increase Photovoltaic Hosting Capacity in Low Voltage Distribution Grids. 1–6.

Hashmi, Md Umar, Arpan Koirala, Hakan Ergun, & Dirk Van Hertem. (2023). Estimation of congestion component of LMP using only local measurements for flexibility markets. Lirias (KU Leuven). 212. 1–6. 1 indexed citations

Koirala, Arpan, Tom Van Acker, Md Umar Hashmi, Reinhilde D’hulst, & Dirk Van Hertem. (2023). Chance-Constrained Optimization Based PV Hosting Capacity Calculation Using General Polynomial Chaos. IEEE Transactions on Power Systems. 39(1). 2284–2295. 13 indexed citations

Koirala, Arpan, et al.. (2023). Solar PV hosting capacity: grid-based vs. market-based scenarios. Research Repository (Delft University of Technology). 1–6. 1 indexed citations

Hashmi, Md Umar, Arpan Koirala, Hakan Ergun, & Dirk Van Hertem. (2023). Robust flexibility needs assessment with bid matching framework for distribution network operators. Sustainable Energy Grids and Networks. 34. 101069–101069. 7 indexed citations

10.

Hashmi, Md Umar, Arpan Koirala, Hakan Ergun, & Dirk Van Hertem. (2023). Perspectives on Distribution Network Flexible and Curtailable Resource Activation and Needs Assessment. IEEE Transactions on Industry Applications. 59(3). 2995–3008. 3 indexed citations

11.

Koirala, Arpan, et al.. (2022). Low voltage customer phase identification methods based on smart meter data. Electric Power Systems Research. 212. 108524–108524. 21 indexed citations

12.

Koirala, Arpan, Tom Van Acker, Reinhilde D’hulst, & Dirk Van Hertem. (2022). Uncertainty quantification in low voltage distribution grids: Comparing Monte Carlo and general polynomial chaos approaches. Sustainable Energy Grids and Networks. 31. 100763–100763. 13 indexed citations

13.

Koirala, Arpan, Md Umar Hashmi, Dirk Van Hertem, & Reinhilde D’hulst. (2022). Representative feeders for spatial scaling of stochastic PV hosting capacity. Lirias (KU Leuven). 1–6. 2 indexed citations

14.

Wu, Jiaojiao, Arpan Koirala, & Dirk Van Hertem. (2022). Review of statistics based coping mechanisms for Smart Meter Missing Data in Distribution Systems. Lirias (KU Leuven). 1–6. 3 indexed citations

15.

Geth, Frederik, et al.. (2022). Computational analysis of impedance transformations for four-wire power networks with sparse neutral grounding. Lirias (KU Leuven). 105–113. 7 indexed citations

16.

Acker, Tom Van, Frederik Geth, Arpan Koirala, & Hakan Ergun. (2022). General polynomial chaos in the current–voltage formulation of the optimal power flow problem. Electric Power Systems Research. 211. 108472–108472. 8 indexed citations

17.

Hashmi, Md Umar, Arpan Koirala, Hakan Ergun, & Dirk Van Hertem. (2021). Flexible and curtailable resource activation in a distribution network using nodal sensitivities. Lirias (KU Leuven). 1–6. 8 indexed citations

18.

Koirala, Arpan, Tom Van Acker, Reinhilde D’hulst, & Dirk Van Hertem. (2021). Hosting capacity of photovoltaic systems in low voltage distribution systems: A benchmark of deterministic and stochastic approaches. Renewable and Sustainable Energy Reviews. 155. 111899–111899. 64 indexed citations

19.

Arboleyá, Pablo, et al.. (2019). Impact Evaluation of the New Self-Consumption Spanish Scenario on the Low-Voltage Terminal Distribution Network. IEEE Transactions on Industry Applications. 55(6). 7230–7239. 14 indexed citations

20.

Koirala, Arpan, Reinhilde D’hulst, & Dirk Van Hertem. (2019). Impedance modelling for European style Distribution Feeder. Lirias (KU Leuven). 1–6. 6 indexed citations

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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