RECENT KEY PROJECTS
Interdisciplinary ICT & Energy
- Developing a Model-based Digital Twin Reference Architecture for Active Energy Consumers and Smart Communities (SMART-TWINS), Proiect Cercetare Experimentala, Competitia PCE 2021, Valoare totala 1.200.000 RON, 2022-2024, Contract nr. PCE 35/2022, cod PN-III-P4-PCE-2021-0334.
- Solutii Big Data pentru managementul consumului de energie electrica in vederea imbunatatirii strategiilor de piata si a decontarii pentru operatorii retelelor de distributie (BIGDATA4GRID), PN-III-P2-2.1-PED-2019-1198, Proiect Experimental Demonstrativ, Competitia PED 2019, Valoare totala 600.000, coordonator ASE, partener SC ICPE SA, durata 24 luni, Contract nr. 462PED/28.10.2020
- Multi-layer aggregator solutions to facilitate optimum demand response and grid flexibility, Funding agency: ERA-NET Co-fund under H2020, UEFISCDI, Total amount for ASE: 169.000 Euro, PNIII European and International Cooperation H2020, ERANET H2020, Partners: ASE (Romania), Stimasoft (Romania), KTH (Sweden), DTU (Denmark), EPRA (Turkey)-coordinator, AKEDAS (Turkey), USN (Norway), Contract 71/2018, Acronym: SMART-MLA, Project web page: https://smart-mla.stimasoft.com/; ERA-NET web page: https://www.eranet-smartenergysystems.eu/Projects
- Intelligent system for trading on wholesale electricity market (SMARTRADE), COMPETITIVENESS OPERATIONAL PROGRAMME 2014-2020, funded by European Funds ERDF, 2016-2020, project responsible – http://smartrade.ase.ro/, Principal Investigator for ASE ;
- Informatics solution for optimization of technical procedures of photovoltaic power plants (OPTIMPV), project code PN-III-P2-2.1-PTE-2016-0032, Increasing the Competitiveness of the Romanian Economy through Research, Development and Innovation, Subprogram 2.1. Competitiveness through Research, Development and Innovation, Transfer to Economic Operator Competition (PTE), funded by National Authority for Scientific Research and Innovation – UEFISCDI, Romania, 2016-2018 – Principal Investigator for ASE;
- IT Solutions for Analysis and Consumption Optimization in Smart Grids (SMART-OPTIM), project code PN-III-P2-2.1-BG-2016-0286, Program Increasing the Competitiveness of the Romanian Economy through Research, Development and Innovation, Subprogram 2.1. Competitiveness through Research, Development and Innovation, Bridge Grant Competition, funded by National Authority for Scientific Research and Innovation – UEFISCDI, Romania, 2016-2018 – https://sites.google.com/a/csie.ase.ro/smart-optim/
- Intelligent system for predicting, analysing and monitoring performance indicators and business processes in the field of renewable energies (SIPAMER), PNII – PCCA 2013, code 0996, no. 49/2014 funded by National Authority for Scientific Research and Innovation – UEFISCDI, Romania, 2014-2017 – Principal Investigator of the consortium;
- Solutii informatice pentru asistarea procesului decizional in mediile incerte si cu evolutii putin predictibile in vederea integrarii in retele de tip grid, PNII-TE, Code: 332, Contract 44/2010, UEFISCDI, Romania, 2010-2012 – Principal Investigator
RECENT KEY PUBLICATIONS
| Oprea, S-V., Bâra, An Edge-Fog-Cloud Computing Architecture for IoT and Smart Metering Data, Peer-to-Peer Networking and Applications | Springer | 2022 |
| Oprea, S-V., Bâra, A., Mind the gap between PV generation and residential load curves: Maximizing the roof-top PV usage for prosumers with an IoT-based Adaptive Optimization and Control Module, Expert Systems with Applications, Volume 212, February 2023, 118828, https://doi.org/10.1016/j.eswa.2022.118828 | Elsevier | 2022 |
| Oprea, S-V., Bâra, A., A measurement model for electricity Consumers’ awareness with covariance structure Analyses. A solid pillar for boosting demand response programs, Sustainable Energy Technologies and Assessments, Volume 53, Part C, October 2022, 102738, https://doi.org/10.1016/j.seta.2022.102738 | Elsevier | 2022 |
| Oprea, S-V., Bâra, A., Ciurea C.E., A novel cost-revenue allocation computation for the competitiveness of balancing responsible parties, including RES. Insights from the electricity market in Renewable Energy, Renewable Energy, Volume 199, November 2022, Pages 881-894, https://doi.org/10.1016/j.renene.2022.09.007 | Elsevier | 2022 |
| Simona-Vasilica Oprea, Adela Bâra, A signaling game-optimization algorithm for residential energy communities implemented at the edge-computing side, Computers & Industrial Engineering, Volume 169, 2022, 108272, ISSN 0360-8352, https://doi.org/10.1016/j.cie.2022.108272. Computers & Industrial Engineering 174 (2022) 108812: | Elsevier | 2022 |
| Simona-Vasilica Oprea, Adela Bâra, Vlad Diaconita. „A motivational local trading framework with 2-round auctioning and settlement rules embedded in smart contracts for a small citizen energy community” Renewable Energy, Volume 193, 2022, Pages 225-239, ISSN 0960-1481, https://doi.org/10.1016/j.renene.2022.04.149. | Elsevier | 2022 |
| Simona-Vasilica Oprea, Adela Bâra, Cristian-Eugen Ciurea, and Laura F. Stoica. 2022. „Smart Cities and Awareness of Sustainable Communities Related to Demand Response Programs: Data Processing with First-Order and Hierarchical Confirmatory Factor Analyses” Electronics 11, no. 7: 1157. https://doi.org/10.3390/electronics11071157 | MDPI | 2022 |
| SV Oprea, A Bara, Feature engineering solution with structured query language analytic functions in detecting electricity frauds using machine learning. Sci Rep 12, 3257. https://doi.org/10.1038/s41598-022-07337-7 | Nature Research | 2022 |
| Oprea S-V, Bâra A, V. Diaconita, C. Ceaparu, A. Ducman, Big Data Processing for Commercial Buildings and Assessing Flexibility in the Context of Citizen Energy Communities, IEEE Access, vol 9, pp 168715-168730, ISSN: 2169-3536, 2021, DOI: 10.1109/ACCESS.2021.3137352 | IEEE | 2021 |
| Oprea S-V, Bâra A, Puican FC, Radu IC. Anomaly Detection with Machine Learning Algorithms and Big Data in Electricity Consumption. Sustainability. 2021; 13(19):10963. https://doi.org/10.3390/su131910963 | MDPI | 2021 |
| Oprea, SV., Bâra, A. Machine learning classification algorithms and anomaly detection in conventional meters and Tunisian electricity consumption large datasets, Computers and Electrical Engineering, Volume 94, September 2021, https://doi.org/10.1016/j.compeleceng.2021.107329 | Elsevier | 2021 |
| Oprea, SV., Bâra, A. Edge and fog computing using IoT for direct load optimization and control with flexibility services for citizen energy communities, Knowledge-Based Systems Volume 228, 27 September 2021, https://doi.org/10.1016/j.knosys.2021.107293 | Elsevier | 2021 |
| Oprea, SV., Bâra, A. & Ifrim, G.A. Optimizing the Electricity Consumption with a High Degree of Flexibility Using a Dynamic Tariff and Stackelberg Game. Journal of Optimization Theory and Application (2021), 190, pages 151–182, https://doi.org/10.1007/s10957-021-01876-1 | Springer | 2021 |
| S.V. Oprea, A. Bara, Devising a trading mechanism with a joint price adjustment for local electricity markets using blockchain. Insights for policy makers, Energy Policy, Volume 152, May 2021, https://doi.org/10.1016/j.enpol.2021.112237 | Elsevier | 2021 |
| Simona Oprea, Adela Bara, Bogdan George Tudorica, Maria Irene Calinoiu, Mihai Alexandru Botezatu, Insights into Demand Side Management with Big Data Analytics in Electricity Consumers’ Behavior, Computers and Electric Engineering (Q2) – Volume 89, January 2021, https://www.sciencedirect.com/science/article/pii/S0045790620307540 | Elsevier | 2021 |
| SV OPREA, A BÂRA, AI Andreescu, Two Novel Blockchain-Based Market Settlement Mechanisms Embedded into Smart Contracts for Securely Trading Renewable Energy, IEEE Access (Q1), November 2020, DOI: 10.1109/ACCESS.2020.3040764, https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9272276 | IEEE | 2020 |
| S. Teimourzadeh;O. B. Tör;M.E. Cebeci;A. Bara;S. V. Oprea;S. M. Kısakürek, Enlightening Customers on Merits of Demand-Side Load Control: A Simple-But-Efficient-Platform, IEEE Access, October 2020, DOI: 10.1109/ACCESS.2020.3032745, https://ieeexplore.ieee.org/document/9234487 | IEEE | 2020 |
| Oprea, S.-V.; Bâra, A.; Bologa, R.A.; Preotescu, D.; Coroianu, L.; A Trading Simulator Model for the Wholesale Electricity Market, IEEE Access, October 2020, https://ieeexplore.ieee.org/document/9215970, DOI: 10.1109/ACCESS.2020.3029291, (Volume: 8) Page(s): 184210 – 184230 | IEEE | 2020 |
| S.V. Oprea, Bara, A, Ultra-short-term forecasting for photovoltaic power plants and real-time key performance indicators analysis with big data solutions. Two case studies – PV Agigea and PV Giurgiu located in Romania, Computers in Industry (Q1), Volume: 120, Article Number: 103230, DOI: 10.1016/j.compind.2020.103230, Published: September 2020, WOS:000538762600005 | Elsevier | 2020 |
| S.V. Oprea, Bara, A, Preda, S, Tor, OB, A Smart Adaptive Switching Module Architecture Using Fuzzy Logic for an Efficient Integration of Renewable Energy Sources. A Case Study of a RES System Located in Hulubesti, Romania, Sustainability (Q2), Volume: 12, Issue: 15, Article Number: 6084, DOI: 10.3390/su12156084, Published: August 2020, WOS:000559515100001 | MDPI | 2020 |
| S.V. Oprea, Bara, A, Tudorica, BG, Dobrita, G, Sustainable Development with Smart Meter Data Analytics Using NoSQL and Self-Organizing Maps, Sustainability (Q2), Volume: 12, Issue: 8, Article Number: 3442, DOI: 10.3390/su12083442, Published: April 2020, WOS:000535598700375 | MDPI | 2020 |
| Tor, OB, Cebeci, ME, Koc, M, Teimourzadeh, S, Atli, D, S.V. Oprea, Bara, A, Peak shaving and technical loss minimization in distribution grids: a time-of-use-based pricing approach for distribution service tariffs, Turkish Journal of Electrical Engineering and Computer Sciences, Volume: 28, Issue: 3, Pages: 1386-1404, DOI: 10.3906/elk-1907-30, Published: 2020, WOS:000532359500014 | TUBITAK | 2020 |
| S.V. Oprea, Bara, A, Setting the Time-of-Use Tariff Rates With NoSQL and Machine Learning to a Sustainable Environment, IEEE ACCESS (Q1), Volume: 8, Pages: 25521-25530, DOI: 10.1109/ACCESS.2020.2969728, Published: 2020, WOS:000524658400002 | IEEE | 2020 |
| Cebeci, ME, Tor, OB, Oprea, SV, Bara, A, Consecutive Market and Network Simulations to Optimize Investment and Operational Decisions Under Different RES Penetration Scenarios, IEEE Transactions on Sustainable Energy (Q1), Volume: 10, Issue: 4, Pages: 2152-2162, DOI: 10.1109/TSTE.2018.2881036, Published: October 2019, WOS:000487199700050 | IEEE | 2019 |
| Oprea, SV, Bara, A, Ifrim, GA, Coroianu, L, Day-ahead electricity consumption optimization algorithms for smart homes, Computers & Industrial Engineering (Q1), Volume: 135, Pages: 382-401, DOI: 10.1016/j.cie.2019.06.023, Published: September 2019, WOS:000482244100030 | Elsevier | 2019 |
| Teimourzadeh, S, Tor, OB, Cebeci, ME, Bara, A, Oprea, SV, A three-stage approach for resilience-constrained scheduling of networked microgrids, Journal of Modern Power Systems and Clean Energy (Q2), Volume: 7, Issue: 4, Pages: 705-715, DOI: 10.1007/s40565-019-0555-0, Published: July 2019, WOS:000477895600005 | Springer | 2019 |
| Oprea, SV, Bara, A, Machine Learning Algorithms for Short-Term Load Forecast in Residential Buildings Using Smart Meters, Sensors and Big Data Solutions, IEEE Access (Q1), Volume: 7, Pages: 177874-177889, DOI: 10.1109/ACCESS.2019.2958383, Published: 2019, WOS:000509483800046 | MDPI | 2019 |
| Oprea, SV, Bara, A, Preotescu, D, Elefterescu, L , Photovoltaic Power Plants (PV-PP) Reliability Indicators for Improving Operation and Maintenance Activities. A Case Study of PV-PP Agigea Located in Romania, IEEE Access (Q1), Volume: 7, Pages: 39142-39157, DOI: 10.1109/ACCESS.2019.2907098, Published: 2019, WOS:000464212600001 | IEEE | 2019 |
| Oprea, SV, Bara, A, Diaconita, V, Sliding Time Window Electricity Consumption Optimization Algorithm for Communities in the Context of Big Data Processing, IEEE Access (Q1), Volume: 7, Pages: 13050-13067, DOI: 10.1109/ACCESS.2019.2892902, Published: 2019, WOS:000458177800075 | IEEE | 2019 |
| Preda, S, Oprea, SV, Bara, A, Belciu, A, PV Forecasting Using Support Vector Machine Learning in a Big Data Analytics Context, Symmetry-Basel (Q2), Volume: 10, Issue: 12, Article Number: 748, DOI: 10.3390/sym10120748, Published: December 2018, WOS:000454725100086 | MDPI | 2018 |
| S.V. Oprea, A.Bâra, A.Uță, A. Pîrjan, G. Căruțașu, Analyses of Distributed Generation and Storage Effect on the Electricity Consumption Curve in the Smart Grid Context, Sustainability (Q2) 2018, 10, 2264; doi:10.3390/su10072264, MDPI, 2017, IF 2,075, AIS 0,322 (2017), WOS:000440947600155 | MDPI | 2018 |
| S.V. Oprea, A. Bâra, G.Ifrim, Flattening the electricity consumption peak and reducing the electricity payment for residential consumers in the context of smart grid by means of shifting optimization algorithm, Elsevier Computers & Industrial Engineering (Q1), Volume 122, August 2018, Pages 125-139, Elsevier, https://doi.org/10.1016/j.cie.2018.05.053, IF 3.195, AIS 0,770 (2017), WOS:000438478700008 | Elsevier | 2018 |
| S.V. Oprea, A.Bâra, G. Majstrovic, Aspects Referring Wind Energy Integration from the Power System Point of View in the Region of Southeast Europe. Study Case of Romania, Energies, 2018, 11, 251; doi:10.3390/en11010251, 2018, IF 2,676, AIS 0,468 (2017), WOS:000424397600250 | MDPI | 2018 |
| S.V. Oprea, A. Pîrjan, G. Căruțașu, D.M. Petroșanu, A. Bâra, J.L. Stănică, C. Coculescu, Developing a Mixed Neural Network Approach to Forecast the Residential Electricity Consumption Based on Sensor Recorded Data, Sensors, 2018, 18, 1443; doi:10.3390/s18051443, 2018, IF 2,475, AIS 0,554 (2017), WOS:000435580300142 | MDPI | 2017 |
| S.V. Oprea, A.Bâra, A. Reveiu, Informatics Solution for Energy Efficiency Improvement and Consumption Management of Householders, Energies, 2018, 11, 138; doi:10.3390/en11010138, 2018, IF 2,676, AIS 0,468 (2017), WOS:000424397600138 | MDPI | 2017 |
| S.V. Oprea, A.Bâra, Analyses of Wind and Photovoltaic Energy Integration from the Promoting Scheme Point of View: Study Case of Romania, Energies, 2017, 10, 2101; doi:10.3390/en10122101, 2017, IF 2,676, AIS 0,468 (2017), WOS:000423156900172 | MDPI | 2017 |
| A. Pîrjan, S.V. Oprea, G. Căruțașu, D.M. Petroșanu, A. Bâra, C. Coculescu, Devising Hourly Forecasting Solutions Regarding Electricity Consumption in the Case of Commercial Center Type Consumers, Energies, 2017, 10(11), 1727; (doi:10.3390/en10111727); ISSN: 1996-1073, SRI: 0.498; IF: 2.707 (2016), WOS:000417046500046 | MDPI | 2017 |
| S.V. Oprea, A.Bâra, M. Cebeci, O.B. Tor, Promoting peak shaving while minimizing electricity consumption payment for residential consumers by using storage devices, TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, Turk J Elec Eng & Comp Sci, E-ISSN: 1303-6203 ISSN: 1300-0632, DOI: 10.3906/elk-1606-152, 2017, SRI: 0.119; IF:0.766 (2016), WOS:000412571400019 | TUBITAK | 2017 |
| I.Lungu, A.Bâra, G.Căruțașu, A.Pîrjan, S.V. Oprea, Prediction intelligent system in the field of renewable energies through neural networks, Economic Computation and Economic Cybernetics Studies and Research, nr.1/2016, ISSN 0424-267X, factor impact 0.406, SRI: 0.029; WOS:000372478800005 | EcoCyb | 2016 |
| I. Lungu, G. Căruţaşu, A. Pîrjan, S.V. Oprea, A. Bâra, A two-step forecasting solution and upscaling technique for small size wind farms located on hilly terrain in Romania, Studies in Informatics and Control Journal, vol 25/issue 1, 2016, ISSN 1220-1766, factor impact 0.913, SRI 0.170; WOS:000372945700009 | SIC-ICI | 2016 |
| A. Bâra, I. Lungu, S.V. Oprea, I. Botha, A. Chinie, Model assumptions for efficiency of wind power plants’ operation, Economic Computation and Economic Cybernetics Studies and Research, nr. 4/2014, ISSN 0424-267X, factor impact 0.406, SRI: 0.029; WOS:000346684700007 | EcoCyb | 2014 |