Pedro Faria

6.3k total citations · 1 hit paper
264 papers, 4.4k citations indexed

About

Pedro Faria is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Pedro Faria has authored 264 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 246 papers in Electrical and Electronic Engineering, 123 papers in Control and Systems Engineering and 49 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Pedro Faria's work include Smart Grid Energy Management (230 papers), Microgrid Control and Optimization (77 papers) and Smart Grid Security and Resilience (67 papers). Pedro Faria is often cited by papers focused on Smart Grid Energy Management (230 papers), Microgrid Control and Optimization (77 papers) and Smart Grid Security and Resilience (67 papers). Pedro Faria collaborates with scholars based in Portugal, United States and Denmark. Pedro Faria's co-authors include Zita Vale, Hugo Morais, João Soares, Tiago Sousa, H.M. Khodr, Omid Abrishambaf, P Kadar, Luís Gomes, Fernando Lezama and Judite Ferreira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Nature Climate Change.

In The Last Decade

Pedro Faria

247 papers receiving 4.2k citations

Hit Papers

Optimal scheduling of a renewable micro-grid in an isolat... 2009 2026 2014 2020 2009 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming
    2009 430 citations Hugo Morais, Pedro Faria et al. profile →

Peers

Pedro Faria
Yue Zhou China
Haiwang Zhong China
Furong Li United Kingdom
Wayes Tushar Australia
Manuel Matos Portugal
Mohsen Parsa Moghaddam Iran
Anzar Mahmood Pakistan
Hongcai Zhang China
Gianluca Fulli Italy
Murray Thomson United Kingdom
Yue Zhou China
Pedro Faria
Citations per year, relative to Pedro Faria Pedro Faria (= 1×) peers Yue Zhou

Countries citing papers authored by Pedro Faria

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Faria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Faria

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Faria. A scholar is included among the top collaborators of Pedro Faria 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 Pedro Faria. Pedro Faria 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.
Faria, Pedro, et al.. (2025). Distributed robust optimization model for resiliency analysis of energy communities with shared energy storage systems. Energy. 320. 135337–135337. 5 indexed citations
2.
Faria, Pedro, et al.. (2025). Review of manufacturing integration between production, maintenance and quality artificial intelligence systems. Journal of Industrial Information Integration. 47. 100910–100910. 3 indexed citations
3.
Faia, Ricardo, et al.. (2024). Empowering energy management in smart buildings: A comprehensive study on distributed energy storage systems for Sustainable consumption. Energy and Buildings. 324. 114953–114953. 2 indexed citations
4.
Algarvio, Hugo, António Couto, Ana Estanqueiro, et al.. (2024). Reduction of the Market Splitting Occurrences: A Dynamic Line Rating Approach for the 2030 Iberian Day-ahead Market Scenarios. Zenodo (CERN European Organization for Nuclear Research). 147. 1–6. 1 indexed citations
5.
Faia, Ricardo, et al.. (2024). Congestion Management in Energy Communities Using a Two-Step Demand Response Methodology. IEEE Transactions on Industry Applications. 60(4). 5344–5351. 5 indexed citations
6.
Abbasi, Ali Reza, Pedro Henrique Berbert de Carvalho, Ricardo Faia, et al.. (2024). Virtual Power Plant Optimization Service - Benchmark of Solvers. SHILAP Revista de lepidopterología. 39. 279–287. 1 indexed citations
7.
8.
Ramos, Daniel, Pedro Faria, Luís Gomes, & Zita Vale. (2023). Building Energy Consumption Forecast under Different Anticipations on a Green Computation Perspective. IFAC-PapersOnLine. 56(2). 10923–10928. 2 indexed citations
9.
Faria, Pedro, et al.. (2023). A Robust Model for Portfolio Management of Microgrid Operator in the Balancing Market. Energies. 16(4). 1700–1700. 1 indexed citations
10.
Santos, Gabriel, Luís Gomes, Tiago Pinto, Pedro Faria, & Zita Vale. (2023). MARTINE’s real-time local market simulation with a semantically interoperable society of multi-agent systems. Sustainable Energy Grids and Networks. 33. 100995–100995. 3 indexed citations
11.
Faria, Pedro, et al.. (2023). Energy trading strategy of community shared energy storage. Electrical Engineering. 106(3). 3415–3426. 10 indexed citations
12.
Faria, Pedro, et al.. (2023). Demand Response Implementation: Overview of Europe and United States Status. Energies. 16(10). 4043–4043. 13 indexed citations
13.
Baptista, José, Pedro Faria, Bruno Canizes, & Tiago Pinto. (2022). Power Quality of Renewable Energy Source Systems: A New Paradigm of Electrical Grids. Energies. 15(9). 3195–3195. 1 indexed citations
14.
Faria, Pedro, et al.. (2022). Dataset of an energy community's generation and consumption with appliance allocation. Data in Brief. 45. 108590–108590. 26 indexed citations
15.
Vale, Zita, Pedro Faria, Omid Abrishambaf, Luís Gomes, & Tiago Pinto. (2021). MARTINE—A Platform for Real-Time Energy Management in Smart Grids. Energies. 14(7). 1820–1820. 10 indexed citations
16.
Santos, Gabriel, Pedro Faria, Zita Vale, Tiago Pinto, & Juan M. Corchado. (2020). Constrained Generation Bids in Local Electricity Markets: A Semantic Approach. Energies. 13(15). 3990–3990. 6 indexed citations
17.
Pinto, Tiago, et al.. (2020). MARTINE: Multi-Agent based Real-Time INfrastructure for Energy. Zenodo (CERN European Organization for Nuclear Research). 2114–2116. 2 indexed citations
18.
19.
Gomes, Luís, et al.. (2013). Contextual Intelligent Load Management Considering Real-Time Pricing in a Smart Grid Environment. 3 indexed citations
20.
Vale, Zita, Carlos Ramos, Pedro Faria, et al.. (2010). Comparison between deterministic and meta-heuristic methods applied to ancillary services dispatch. 6096. 731–741. 3 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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