| Machine learning algorithms for short-term load forecast in residential buildings using smart meters, sensors and big data solutions SV Oprea, A Bâra IEEE Access 7, 177874-177889, 2019 | 114 | 2019 |
| A model for business intelligence systems' development A Bara, I Botha, V Diaconita, I Lungu, A Velicanu, M Velicanu Informatica Economica 13 (4), 99, 2009 | 79 | 2009 |
| 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 SV Oprea, A Bâra, G Ifrim Computers & Industrial Engineering 122, 125-139, 2018 | 65 | 2018 |
| PV forecasting using support vector machine learning in a big data analytics context S Preda, SV Oprea, A Bâra, A Belciu Symmetry 10 (12), 748, 2018 | 64 | 2018 |
| Two novel blockchain-based market settlement mechanisms embedded into smart contracts for securely trading renewable energy SV Oprea, A Bâra, AI Andreescu IEEE access 8, 212548-212556, 2020 | 61 | 2020 |
| Anomaly detection with machine learning algorithms and big data in electricity consumption SV Oprea, A Bâra, FC Puican, IC Radu Sustainability 13 (19), 10963, 2021 | 60 | 2021 |
| Devising a trading mechanism with a joint price adjustment for local electricity markets using blockchain. Insights for policy makers SV Oprea, A Bâra Energy Policy 152, 112237, 2021 | 60 | 2021 |
| Insights into demand-side management with big data analytics in electricity consumers’ behaviour SV Oprea, A Bâra, BG Tudorică, MI Călinoiu, MA Botezatu Computers & Electrical Engineering 89, 106902, 2021 | 49 | 2021 |
| Machine learning classification algorithms and anomaly detection in conventional meters and Tunisian electricity consumption large datasets SV Oprea, A Bâra Computers & Electrical Engineering 94, 107329, 2021 | 48 | 2021 |
| Edge and fog computing using IoT for direct load optimization and control with flexibility services for citizen energy communities SV Oprea, A Bâra Knowledge-Based Systems 228, 107293, 2021 | 43 | 2021 |
| 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 … SV Oprea, A Bâra Computers in Industry 120, 103230, 2020 | 42 | 2020 |
| Setting the time-of-use tariff rates with NoSQL and machine learning to a sustainable environment SV Oprea, A Bara IEEE Access 8, 25521-25530, 2020 | 39 | 2020 |
| Devising hourly forecasting solutions regarding electricity consumption in the case of commercial center type consumers A Pîrjan, SV Oprea, G Căruțașu, DM Petroșanu, A Bâra, C Coculescu Energies 10 (11), 1727, 2017 | 34 | 2017 |
| Day-ahead electricity consumption optimization algorithms for smart homes SV Oprea, A Bâra, GA Ifrim, L Coroianu Computers & Industrial Engineering 135, 382-401, 2019 | 33 | 2019 |
| A three-stage approach for resilience-constrained scheduling of networked microgrids S Teimourzadeh, OB Tor, ME Cebeci, A Bara, SV Oprea Journal of Modern Power Systems and Clean Energy 7 (4), 705-715, 2019 | 33 | 2019 |
| The impact of organization changes on business intelligence projects AM Lupu, R Bologa, I Lungu, A Bra Proceedings of the 7th WSEAS International Conference on Simulation …, 2007 | 32 | 2007 |
| 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 SV Oprea, A Bâra Expert Systems with Applications 212, 118828, 2023 | 27 | 2023 |
| Developing a mixed neural network approach to forecast the residential electricity consumption based on sensor recorded data SV Oprea, A Pîrjan, G Căruțașu, DM Petroșanu, A Bâra, JL Stănică, ... Sensors 18 (5), 1443, 2018 | 26 | 2018 |
| 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 Hulubești … SV Oprea, A Bâra, Ș Preda, OB Tor Sustainability 12 (15), 6084, 2020 | 25 | 2020 |
| Photovoltaic power plants (PV-PP) reliability indicators for improving operation and maintenance activities. A case study of PV-PP Agigea located in Romania SV Oprea, A Bâra, D Preoţescu, L Elefterescu IEEE Access 7, 39142-39157, 2019 | 25 | 2019 |
