Sayed Saeed Hosseini

627 total citations
20 papers, 488 citations indexed

About

Sayed Saeed Hosseini is a scholar working on Electrical and Electronic Engineering, Building and Construction and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Sayed Saeed Hosseini has authored 20 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 8 papers in Building and Construction and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Sayed Saeed Hosseini's work include Smart Grid Energy Management (14 papers), Building Energy and Comfort Optimization (8 papers) and Electric Vehicles and Infrastructure (7 papers). Sayed Saeed Hosseini is often cited by papers focused on Smart Grid Energy Management (14 papers), Building Energy and Comfort Optimization (8 papers) and Electric Vehicles and Infrastructure (7 papers). Sayed Saeed Hosseini collaborates with scholars based in Canada, Iran and United States. Sayed Saeed Hosseini's co-authors include Kodjo Agbossou, Sousso Kélouwani, Alben Cardenas, Nilson Henao, Ali Badri, Masood Parvania, Yves Dubé, Michaël Fournier, Jonathan Bouchard and Benoit Delcroix and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Access and Sensors.

In The Last Decade

Sayed Saeed Hosseini

18 papers receiving 467 citations

Peers

Sayed Saeed Hosseini

EEE

CSE

RESE

Sangyoon Lee South Korea

Shan Gao China

Paschalis A. Gkaidatzis Greece

Mohammad Esmaeil Hassanzadeh Iran

Wouter Labeeuw Belgium

Jianlin Yang China

Elham Shirazi Netherlands

Young-Min Wi South Korea

Mostafa Majidpour Australia

Sen Huang United States

Sangyoon Lee South Korea

Sayed Saeed Hosseini

400 ×0.9

EEE

139 ×1.0

CSE

86 ×0.6

133 ×1.4

46 ×0.6

RESE

Citations per year, relative to Sayed Saeed Hosseini Sayed Saeed Hosseini (= 1×) peers Sangyoon Lee

Countries citing papers authored by Sayed Saeed Hosseini

Since Specialization

Citations

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

Fields of papers citing papers by Sayed Saeed Hosseini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sayed Saeed Hosseini. 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 Sayed Saeed Hosseini. The network helps show where Sayed Saeed Hosseini may publish in the future.

Co-authorship network of co-authors of Sayed Saeed Hosseini

This figure shows the co-authorship network connecting the top 25 collaborators of Sayed Saeed Hosseini. A scholar is included among the top collaborators of Sayed Saeed Hosseini 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 Sayed Saeed Hosseini. Sayed Saeed Hosseini 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

Khalilian, Madjid, et al.. (2025). Optimized Active Fuzzy Deep Federated Learning for predicting autism spectrum disorder. Network Modeling Analysis in Health Informatics and Bioinformatics. 14(1).

Kélouwani, Sousso, et al.. (2024). Hierarchical transactive home energy management system groups coordination through multi-level consensus sharing-based distributed ADMM. Sustainable Energy Grids and Networks. 39. 101460–101460. 6 indexed citations

Hosseini, Sayed Saeed, Benoit Delcroix, Nilson Henao, Kodjo Agbossou, & Sousso Kélouwani. (2023). Towards Feasible Solutions for Load Monitoring in Quebec Residences. Sensors. 23(16). 7288–7288.

Kélouwani, Sousso, et al.. (2022). A Stochastic Approach to Designing Plug-In Electric Vehicle Charging Controller for Residential Applications. IEEE Access. 10. 52876–52889. 5 indexed citations

Agbossou, Kodjo, et al.. (2022). A Discount-Based Time-of-Use Electricity Pricing Strategy for Demand Response With Minimum Information Using Reinforcement Learning. IEEE Access. 10. 54018–54028. 27 indexed citations

Kélouwani, Sousso, et al.. (2022). A Bid Selection Model for Computational Cost Reduction of Transactive Energy Aggregator in Smart Grids. 1–6. 1 indexed citations

Hosseini, Sayed Saeed, Benoit Delcroix, Nilson Henao, Kodjo Agbossou, & Sousso Kélouwani. (2022). A case study on obstacles to feasible NILM solutions for energy disaggregation in quebec residences. 363–367. 2 indexed citations

Agbossou, Kodjo, et al.. (2021). Coordination of Smart Home Energy Management Systems in Neighborhood Areas: A Systematic Review. IEEE Access. 9. 36417–36443. 56 indexed citations

Kélouwani, Sousso, et al.. (2021). A Comparative Analysis of Machine Learning Methods for Short-Term Load Forecasting Systems. 270–275. 4 indexed citations

10.

Agbossou, Kodjo, et al.. (2021). A compositional kernel based gaussian process approach to day-ahead residential load forecasting. Energy and Buildings. 254. 111459–111459. 26 indexed citations

11.

Hosseini, Sayed Saeed, Kodjo Agbossou, Sousso Kélouwani, Alben Cardenas, & Nilson Henao. (2020). A Practical Approach to Residential Appliances on-Line Anomaly Detection: A Case Study of Standard and Smart Refrigerators. IEEE Access. 8. 57905–57922. 18 indexed citations

12.

Hosseini, Sayed Saeed, Nilson Henao, Sousso Kélouwani, Kodjo Agbossou, & Alben Cardenas. (2019). A Study on Markovian and Deep Learning Based Architectures for Household Appliance-level Load Modeling and Recognition. 35–40. 11 indexed citations

13.

Agbossou, Kodjo, et al.. (2019). A residual load modeling approach for household short-term load forecasting application. Energy and Buildings. 187. 132–143. 29 indexed citations

14.

Hosseini, Sayed Saeed, Sousso Kélouwani, Kodjo Agbossou, Alben Cardenas, & Nilson Henao. (2019). Adaptive on-line unsupervised appliance modeling for autonomous household database construction. International Journal of Electrical Power & Energy Systems. 112. 156–168. 12 indexed citations

15.

Henao, Nilson, Kodjo Agbossou, Sousso Kélouwani, Sayed Saeed Hosseini, & Michaël Fournier. (2018). Power Estimation of Multiple Two-State Loads Using A Probabilistic Non-Intrusive Approach. Energies. 11(1). 88–88. 11 indexed citations

16.

Hosseini, Sayed Saeed, Kodjo Agbossou, Sousso Kélouwani, & Alben Cardenas. (2017). Non-intrusive load monitoring through home energy management systems: A comprehensive review. Renewable and Sustainable Energy Reviews. 79. 1266–1274. 148 indexed citations

17.

Hosseini, Sayed Saeed, Sousso Kélouwani, Kodjo Agbossou, Alben Cardenas, & Nilson Henao. (2017). A semi-synthetic dataset development tool for household energy consumption analysis. 564–569. 23 indexed citations

18.

Hosseini, Sayed Saeed, Ali Badri, & Masood Parvania. (2014). A survey on mobile energy storage systems (MESS): Applications, challenges and solutions. Renewable and Sustainable Energy Reviews. 40. 161–170. 48 indexed citations

19.

Hosseini, Sayed Saeed, Ali Badri, & Masood Parvania. (2013). Smart parking lot to minimize residential grid losses based on customer priorities. 728–732. 6 indexed citations

20.

Hosseini, Sayed Saeed, Ali Badri, & Masood Parvania. (2012). The plug-in electric vehicles for power system applications: The vehicle to grid (V2G) concept. 1101–1106. 55 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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