Zacharie De Grève

1.7k total citations
108 papers, 1.2k citations indexed

About

Zacharie De Grève is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Zacharie De Grève has authored 108 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Electrical and Electronic Engineering, 25 papers in Control and Systems Engineering and 15 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Zacharie De Grève's work include Electric Power System Optimization (33 papers), Smart Grid Energy Management (32 papers) and Energy Load and Power Forecasting (27 papers). Zacharie De Grève is often cited by papers focused on Electric Power System Optimization (33 papers), Smart Grid Energy Management (32 papers) and Energy Load and Power Forecasting (27 papers). Zacharie De Grève collaborates with scholars based in Belgium, Denmark and France. Zacharie De Grève's co-authors include François Vallée, Jean‐François Toubeau, Jérémie Bottieau, Olivier Deblecker, Jacques Lobry, Jalal Kazempour, Pierre Pinson, Dimitra Apostolopoulou, Malcolm McCulloch and Christos Ordoudis and has published in prestigious journals such as Scientific Reports, Applied Energy and European Journal of Operational Research.

In The Last Decade

Zacharie De Grève

102 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zacharie De Grève Belgium 20 1.1k 326 115 106 91 108 1.2k
Xuemin Zhang China 18 859 0.8× 289 0.9× 258 2.2× 67 0.6× 140 1.5× 92 1.3k
Amr S. Zalhaf Egypt 21 791 0.7× 417 1.3× 125 1.1× 45 0.4× 59 0.6× 58 1.1k
Sung‐Kwan Joo South Korea 18 1.1k 1.1× 444 1.4× 74 0.6× 57 0.5× 93 1.0× 86 1.4k
Ryuichi Yokoyama Japan 15 797 0.7× 507 1.6× 126 1.1× 58 0.5× 72 0.8× 146 1.1k
George J. Tsekouras Greece 16 782 0.7× 222 0.7× 142 1.2× 72 0.7× 54 0.6× 58 1.3k
P. Caramia Italy 22 1.4k 1.3× 494 1.5× 162 1.4× 67 0.6× 341 3.7× 119 1.6k
Kyeon Hur South Korea 21 1.6k 1.5× 928 2.8× 140 1.2× 78 0.7× 110 1.2× 121 2.0k
Shameem Ahmad Bangladesh 20 885 0.8× 495 1.5× 156 1.4× 36 0.3× 65 0.7× 98 1.1k
Duane Robinson Australia 17 812 0.8× 405 1.2× 75 0.7× 19 0.2× 57 0.6× 110 1.1k

Countries citing papers authored by Zacharie De Grève

Since Specialization
Citations

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

Fields of papers citing papers by Zacharie De Grève

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zacharie De Grève. 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 Zacharie De Grève. The network helps show where Zacharie De Grève may publish in the future.

Co-authorship network of co-authors of Zacharie De Grève

This figure shows the co-authorship network connecting the top 25 collaborators of Zacharie De Grève. A scholar is included among the top collaborators of Zacharie De Grève 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 Zacharie De Grève. Zacharie De Grève 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
1.
2.
Faraji, Jamal, et al.. (2024). On the limited observability of energy community members: An uncertainty-aware near-optimal bilevel programming approach. Applied Energy. 381. 125177–125177. 1 indexed citations
3.
Faraji, Jamal, François Vallée, & Zacharie De Grève. (2024). A Preference-Informed Energy Sharing Framework for a Renewable Energy Community. ORBi UMONS. 2(4). 503–518. 5 indexed citations
4.
Bottieau, Jérémie, et al.. (2024). A forecast-driven stochastic optimization method for proactive activation of manual reserves. Electric Power Systems Research. 235. 110804–110804.
5.
Vallée, François, et al.. (2024). Physics-informed machine learning for forecasting power exchanges at the interface between transmission and distribution systems. Electric Power Systems Research. 238. 111097–111097. 1 indexed citations
6.
Kazempour, Jalal, et al.. (2023). Embedding Dependencies Between Wind Farms in Distributionally Robust Optimal Power Flow. 1–1. 2 indexed citations
7.
Toubeau, Jean‐François, et al.. (2022). Pricing Electricity in Residential Communities Using Game-Theoretical Billings. IEEE Transactions on Smart Grid. 14(2). 1621–1631. 20 indexed citations
8.
Toubeau, Jean‐François, Thomas Morstyn, Jérémie Bottieau, et al.. (2020). Capturing Spatio-Temporal Dependencies in the Probabilistic Forecasting of Distribution Locational Marginal Prices. IEEE Transactions on Smart Grid. 12(3). 2663–2674. 22 indexed citations
9.
Toubeau, Jean‐François, et al.. (2020). Deep Reinforcement Learning-Based Voltage Control to Deal with Model Uncertainties in Distribution Networks. Energies. 13(15). 3928–3928. 19 indexed citations
10.
Ordoudis, Christos, et al.. (2019). Optimal Power Flow Under Uncertainty: An Extensive Out-of-Sample Analysis. ORBi UMONS. 1–5. 6 indexed citations
11.
Kazempour, Jalal, et al.. (2019). Incentive-Compatibility in a Two-Stage Stochastic Electricity Market With High Wind Power Penetration. IEEE Transactions on Power Systems. 34(4). 2846–2858. 55 indexed citations
12.
Lecron, Fabian, Zacharie De Grève, François Vallée, et al.. (2017). Using matrix factorisation for the prediction of electrical quantities. CIRED - Open Access Proceedings Journal. 2017(1). 2568–2571. 2 indexed citations
13.
Toubeau, Jean‐François, Zacharie De Grève, & François Vallée. (2017). Medium-Term Multimarket Optimization for Virtual Power Plants: A Stochastic-Based Decision Environment. IEEE Transactions on Power Systems. 33(2). 1399–1410. 51 indexed citations
14.
Deblecker, Olivier, et al.. (2017). Influence of the Geometric Uncertainties on the RLC Parameters of Wound Inductors Modeled Using the Finite-Element Method. IEEE Transactions on Magnetics. 53(6). 1–4. 4 indexed citations
15.
Vallée, François, et al.. (2017). On the use of game theory to study the planning and profitability of industrial microgrids connected to the distribution network. CIRED - Open Access Proceedings Journal. 2017(1). 2444–2448. 5 indexed citations
16.
17.
Vallée, François, et al.. (2016). Long-Term Planning of Industrial Microgrids. ORBi UMONS. 1 indexed citations
18.
Grève, Zacharie De, Patrick Dular, Ruth V. Sabariego, & Christophe Geuzaine. (2015). Finite element models for studying the capacitive behaviour of wound components. Lirias (KU Leuven). 3 indexed citations
19.
Toubeau, Jean‐François, Jacques Lobry, François Vallée, & Zacharie De Grève. (2014). Optimal allocation process of voltage control devices and operational management of the voltage in distribution systems using the experimental design method. 1083–1090. 1 indexed citations
20.
Grève, Zacharie De, Olivier Deblecker, & Jacques Lobry. (2013). Numerical Modeling of Capacitive Effects in HF Multiwinding Transformers—Part I: A Rigorous Formalism Based on the Electrostatic Equations. IEEE Transactions on Magnetics. 49(5). 2017–2020. 29 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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