{"id":109,"date":"2026-02-01T10:49:11","date_gmt":"2026-02-01T10:49:11","guid":{"rendered":"https:\/\/smartlem.ase.ro\/?page_id=109"},"modified":"2026-02-01T10:49:11","modified_gmt":"2026-02-01T10:49:11","slug":"national-reporting","status":"publish","type":"page","link":"https:\/\/smartlem.ase.ro\/?page_id=109","title":{"rendered":"NATIONAL REPORTING"},"content":{"rendered":"\n<p class=\"has-vivid-cyan-blue-color has-text-color has-link-color wp-elements-d4fa8ad262753aa856bcb09865e07b6c wp-block-paragraph\">A Business Model-Oriented Platform with Applications for Developing Local Electricity Markets and Accelerating Clean Energy Transition (SMART-LEM)<\/p>\n\n\n\n<p class=\"has-vivid-cyan-blue-color has-text-color has-link-color wp-elements-f7364d8fd9b204b53b8cca4b2f06daf8 wp-block-paragraph\">Contract no. 43\/2024<\/p>\n\n\n\n<p class=\"has-vivid-cyan-blue-color has-text-color has-link-color wp-elements-74db9604f20b2e3639f0eaabf5e61346 wp-block-paragraph\">Project founded by UEFISCDI within PNCDI IV, total funding: 255.000 euro (budget 250.000 euro, self-funding 5.000 euro)<\/p>\n\n\n\n<p class=\"has-vivid-cyan-blue-color has-text-color has-link-color wp-elements-f5becb361d7283782d9fe79b2d159015 wp-block-paragraph\">Coordinator: Academia de Studii Economice din Bucuresti (ASE), prof. Simona Oprea<\/p>\n\n\n\n<p class=\"has-vivid-cyan-blue-color has-text-color has-link-color wp-elements-0330de08f7b2617c47cd7833495fd48c wp-block-paragraph\">Romanian Partner: Lara Business SRL, Dan Florea<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Project progress<\/h2>\n\n\n\n<h3 class=\"wp-block-heading has-vivid-cyan-blue-color has-text-color has-link-color wp-elements-8d89f75be447f6211bd05d48096bc03a\">2024 &#8211; SCIENTIFIC REPORT ON DATA LEVEL MODELING AND BUSINESS MODELS FOR CON-\/PROSUMERS<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-vivid-red-color has-text-color has-link-color wp-elements-bed3255f69bb7d5863decaedbfd63c47\">Act 1.1 \u2013 Modeling the data level of the SMART-LEM platform \u2022 Definition of data model collection and integration requirements \u2013 LARA partner \u2022 Modeling the communication platform, data processing and integration flow. Big Data Storage Solution Modeling \u2013 ASE Coordinator<\/li>\n\n\n\n<li class=\"has-vivid-red-color has-text-color has-link-color wp-elements-a5abd04ea5db82c72a220628b63ab8e2\">Act 1.2 &#8211; Proposal of business models (BM) for con-\/prosumers \u2022 Proposal of optimization models at consumer level &#8211; ASE coordinator<\/li>\n\n\n\n<li class=\"has-vivid-red-color has-text-color has-link-color wp-elements-53b24e5db0ba96d186d84863e00fc837\"> Act 1.3 \u2013 Dissemination of results Activity<\/li>\n<\/ul>\n\n\n\n<p class=\"has-vivid-cyan-blue-color has-text-color has-link-color wp-elements-d297e36be382ab3b00effc6c31e9b706 wp-block-paragraph\"><strong>Summary:<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A1.1 aimed to develop the data layer of the SMART-LEM platform, aiming at the integration and efficient processing of data from various sources to support business models in local energy markets (LEM). Defined requirements for data collection and integration, using IoT devices, sensors and other sources, with a focus on personalizing consumer comfort and optimizing energy resources. The proposed architecture includes two levels of processing: one local, based on edge computing, for initial data collection, and one in the cloud for aggregation and integration, the data being managed in a &#8220;data lake&#8221; connected to multiple sources. The Big Data storage solution allows ingesting and distilling data in real-time and in batch mode, preparing it for complex analysis. Business process models were developed using BPMN diagrams for prosumers, storage systems, EV charging stations, aggregators and local markets, optimizing transactions and resource utilization. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Activity A1.2 focused on the development of innovative business models for participants in local energy markets, including consumers, prosumers, aggregators and charging stations for electric vehicles. For prosumers, a monitoring and control module was proposed that optimizes the consumption and utilization of renewable energy through predictions, recommendations and optimizations. The models for the charging stations were oriented towards energy flexibility and smart charging, also addressing the use of batteries in the context of Vehicle-to-Grid. Aggregators are positioned as intermediaries that bring together multiple resources, acting as virtual powerhouses to provide service flexibility and limit the risks of price fluctuations. Business models for local markets provide a decentralized framework for trading renewable energy, reducing dependency on the main grid and maximizing resource efficiency. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An innovative component was proposed in the form of a virtual assistant, Energy Assistant (EA), which uses algorithms based on Artificial Intelligence (AI) to optimize consumption, transactions and cost reduction. This assistant has demonstrated, through simulations, significant improvements in energy self-sufficiency and financial savings for users. <\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"856\" height=\"586\" src=\"https:\/\/smartlem.ase.ro\/wp-content\/uploads\/2026\/02\/image.png\" alt=\"\" class=\"wp-image-110\" srcset=\"https:\/\/smartlem.ase.ro\/wp-content\/uploads\/2026\/02\/image.png 856w, https:\/\/smartlem.ase.ro\/wp-content\/uploads\/2026\/02\/image-300x205.png 300w, https:\/\/smartlem.ase.ro\/wp-content\/uploads\/2026\/02\/image-768x526.png 768w\" sizes=\"auto, (max-width: 856px) 100vw, 856px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The results of the 2024 stage were disseminated in 3 WoS indexed articles, 1 article in a BDI journal as well as in 3 international conferences.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Journal papers published in 2024<\/strong><\/td><\/tr><tr><td>Irina Alexandra Georgescu, Simona-Vasilica Oprea, Adela B\u00e2ra, <em>Investigating the relationship between macroeconomic indicators,<\/em> <em>renewables and pollution across diverse regions in the globalization era<\/em>, Applied Energy, Volume 363, 1 June 2024, <a href=\"https:\/\/doi.org\/10.1016\/j.apenergy.2024.123077\">https:\/\/doi.org\/10.1016\/j.apenergy.2024.123077<\/a>, WOS:001223392400001<\/td><\/tr><tr><td>Adela B\u00e2ra, Simona-Vasilica Oprea,&nbsp; <em>Electricity price forecast on day-ahead market for mid- and short terms: capturing spikes in data sequences using recurrent neural network techniques<\/em>, Electrical Engineering, Volume 106, pages 6309\u20136338, Oct 2024 <a href=\"https:\/\/doi.org\/10.1007\/s00202-024-02393-w\">https:\/\/doi.org\/10.1007\/s00202-024-02393-w<\/a> , WOS:001200309400001<\/td><\/tr><tr><td>Simona-Vasilica Oprea, Adela B\u00e2ra,&nbsp; <em>A Recommendation System for Prosumers Based on Large Language Models<\/em>, Sensors, June 2024, <a href=\"https:\/\/doi.org\/10.3390\/s24113530\">https:\/\/doi.org\/10.3390\/s24113530<\/a>, WOS:001245709800001<\/td><\/tr><tr><td>Adela B\u00e2ra, Simona-Vasilica Oprea, <em>Energy assistants for prosumers to enable trading strategies on local electricity markets<\/em>, Knowledge-Based Systems, \u00een curs de evaluare R2<\/td><\/tr><tr><td>Anca Ioana Andreescu, Simona-Vasilica Oprea, Adela B\u00e2ra, Alin Gabriel V\u0103duva, Andreea-Mihaela Niculae, <em>Mapping Business Process Modeling with the Business Models of Several Energy Community Members<\/em>, Database Systems Journal, Nov 2024, vol. XV, no. 1\/2024, p. 23-37, ISSN 2069 &#8211; 3230<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>International conferences in 2024<\/strong><\/td><\/tr><tr><td>Alexandra-Cristina-Daniela Ciuverc\u0103, <em>Sentiment Analysis of Research on AI Ethics: A Web-Based Study,<\/em> The 7<sup>th<\/sup>International Conference on Economics and Social Sciences, June 13-14, 2024, Bucharest, Romania, published in Proceedings of the International Conference on Economics and Social Sciences, Editura ASE, ISSN: 2704-6524, pp. 672-681, https:\/\/doi.org\/10.24818\/icess\/2024\/060<\/td><\/tr><tr><td>Andreea Vine\u0219, <em>Performance Evaluation of Data Vault and Dimensional Modeling: Insights from TPC-DS Dataset Analysis<\/em>, The 23rd International Conference on Informatics in Economy (IE 2024), Education, Research &amp; Business Technologies, 23-24 May 2024, Timi\u0219oara, Rom\u00e2nia<\/td><\/tr><tr><td>Adela B\u00e2ra, Simona-Vasilica Oprea, <em>Optimizing Energy Storage Systems. A Dynamic Framework for Capacity Allocation and Profit Maximization in Electricity Markets<\/em>, The International Conference &#8220;Global Economy Under Crisis&#8221; &#8211; 13th Edition, Constan\u021ba, Rom\u00e2nia, 11-12 Dec 2024, articolul va fi publicat \u00een Ovidius University Annals. Economic Sciences Series &#8211; Vol. XXIV, Issue 2\/2024, ISSN 2393-3127<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading has-vivid-cyan-blue-color has-text-color has-link-color wp-elements-c16f665ee96219ebacb4ec1cdccddf4e\">2025 &#8211; SCIENTIFIC REPORT ON THE DEVELOPMENT OF DATA LEVEL AND BUSINESS MODELS FOR CHARGING STATIONS, AGGREGATORS AND LOCAL ENERGY MARKETS<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-vivid-red-color has-text-color has-link-color wp-elements-7400f97eb95eff0c039225a88c0a5a2a\">Act 2.1 &#8211; Development of the data level of the SMART-LEM platform<\/li>\n\n\n\n<li class=\"has-vivid-red-color has-text-color has-link-color wp-elements-a21ea3a3137e5268f5ec0d173c0e8c90\">Act 2.2 &#8211; Development of business models for con-\/prosumers and charging stations<\/li>\n\n\n\n<li class=\"has-vivid-red-color has-text-color has-link-color wp-elements-42af47b6515882e3a6a70643ef8bf378\">Act 2.3 &#8211; Proposal of business models for aggregators and local markets (LEM)<\/li>\n\n\n\n<li class=\"has-vivid-red-color has-text-color has-link-color wp-elements-9c2c8df93240b0c86baa0425bf7701c8\">Act 2.4 \u2013 Dissemination of results<\/li>\n<\/ul>\n\n\n\n<p class=\"has-vivid-cyan-blue-color has-text-color has-link-color wp-elements-d297e36be382ab3b00effc6c31e9b706 wp-block-paragraph\"><strong>Summary:<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The 2025 stage aimed at developing the level of data and business models for charging stations, aggregators and local electricity markets. The SMART-LEM platform was developed for modeling and simulating energy community models, including market mechanisms, membership management, weather data integration, and financial and energy performance analysis. Digital models have been defined for members and their assets \u2013 baseload consumption, PV\/wind generation, battery storage, heat pumps and electric vehicles \u2013 allowing the detailed behavior of members of real communities and their interaction with the grid to be assessed. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Advanced business models for prosumers and smart buildings have been developed, based on the energy assistant EAB, a hierarchical edge-to-fog system that coordinates energy flexibility, optimizes costs and maximizes self-consumption by participating in DAM and IDM. Simulations demonstrated major improvements: cost reduction of over 70%, self-consumption of over 80% and increased energy autonomy, confirming the operational benefits of multi-level optimization. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Also, business models for aggregators and local markets (LEM) were proposed, through the FlexSym system and the NSGA-DEMIX multi-objective algorithm, which optimizes sequential trading strategies on the aFRR, DAM and IDM markets. Benchmarking revealed significant differences between an aggregator-governed and a community-managed model: communities achieve higher collective benefits, lower costs, and lower grid dependency, even if gross revenues are lower. The results confirm that community-oriented strategies are more sustainable and equitable. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The results of the 2025 phase were disseminated in 20 WoS indexed articles and in 2 international conferences. At the same time, the participation in the CETP Knowledge Community, Vienna, facilitated the connection of the project to similar European initiatives, the exchange of best practices and the strengthening of international collaboration.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Journal papers published in 2025<\/strong><\/td><\/tr><tr><td>A. B\u00e2ra and S. -V. Oprea, <strong>Flexibility-driven strategies for the optimal scheduling of industrial batteries across stacked energy markets<\/strong>, Computers in industry (2025), <a href=\"https:\/\/www.sciencedirect.com\/journal\/computers-in-industry\/vol\/172\/suppl\/C\">Volume 172<\/a>, 104346, <a href=\"http:\/\/dx.doi.org\/10.1016\/j.compind.2025.104346\" target=\"_blank\" rel=\"noreferrer noopener\">10.1016\/j.compind.2025.104346<\/a>.<\/td><\/tr><tr><td>A. B\u00e2ra, S.V. Oprea, <strong>Energy assistants for prosumers to enable trading strategies on local electricity markets<\/strong>, Knowledge-Based Systems, Volume 309, 2025, 112927, ISSN 0950-7051, https:\/\/doi.org\/10.1016\/j.knosys.2024.112927.<\/td><\/tr><tr><td>S.V. Oprea, A. B\u00e2ra, <strong>Cost outweighing environmental concerns in user preferences within peer-to-peer (P2P) local electricity markets<\/strong>, Expert Systems with Applications, Volume 292, 2025, 128611, ISSN 0957-4174, https:\/\/doi.org\/10.1016\/j.eswa.2025.128611.<\/td><\/tr><tr><td>A. B\u00e2ra, I.A. Georgescu, S.V. Oprea, <strong>The role of generation mix, demand fluctuations and sequential markets in shaping intraday electricity prices. Evidence from Romania<\/strong>, Renewable Energy, Volume 255, 2025, 123782, ISSN 0960-1481, https:\/\/doi.org\/10.1016\/j.renene.2025.123782<\/td><\/tr><tr><td>Oprea, S.-V., B\u00e2ra, A., <strong>An adaptive pricing mechanism framework for post-auction in the local electricity markets integrating a higher share of renewables<\/strong>, Renewable Energy (2025), <a href=\"https:\/\/www.sciencedirect.com\/journal\/renewable-energy\/vol\/256\/part\/PB\">Volume 256, Part B<\/a>, 124056 <a href=\"http:\/\/dx.doi.org\/10.1016\/j.renene.2025.124056\" target=\"_blank\" rel=\"noreferrer noopener\">10.1016\/j.renene.2025.124056<\/a>.<\/td><\/tr><tr><td>Oprea, S.-V., &amp; B\u00e2ra, A. (2025), <strong>Two-step price mechanism using Newton-Raphson method and peer-to-peer mediation for local electricity markets<\/strong>, Energy Strategy Reviews, Volume 59, 2025, 101701, ISSN 2211-467X, https:\/\/doi.org\/10.1016\/j.esr.2025.101701. (https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2211467X25000641)<\/td><\/tr><tr><td>Bucur, C., Tudoric\u0103, B.-G., B\u00e2ra, A., &amp; Oprea, S.-V. (2025). <strong>Multifractal analysis of Bitcoin price dynamics<\/strong>. <em>Journal of Business Economics and Management<\/em>, <em>26<\/em>(1), 21\u201348. https:\/\/doi.org\/10.3846\/jbem.2025.23025<\/td><\/tr><tr><td>Ciuverca, A.-C.-D., &amp; Oprea, S. (2025). <strong>The influence of AI on price forecasting. The view of the academic community<\/strong>.&nbsp;<em>Journal of Business Economics and Management<\/em>,&nbsp;<em>26<\/em>(1), 231\u2013254. https:\/\/doi.org\/10.3846\/jbem.2025.23544<\/td><\/tr><tr><td>S. -V. Oprea and A. B\u00e2ra, <strong>How Predictable Is Electric Vehicle Adoption? Exploring the Broader Role of Renewables in Transportation Using a Data-Driven Approach<\/strong>, in&nbsp;<em>IEEE Access<\/em>, vol. 13, pp. 141937-141957, 2025, doi: 10.1109\/ACCESS.2025.3597101.<\/td><\/tr><tr><td>C. Iancu and S. -V. Oprea, <strong>AI and Human Resources in a Literature-Driven Investigation Into Emerging Trends<\/strong>, in <em>IEEE Access<\/em>, vol. 13, pp. 81897-81916, 2025, doi: 10.1109\/ACCESS.2025.3568338<\/td><\/tr><tr><td>Andreescu, A. I., Oprea, S., V\u0103duva, A. G., &amp; B\u00e2ra, A. (2025). <strong>Anti-Money Laundering Compliance Using Feature Engineering with SQL Analytics, TF-IDF and Oversampling: Conditional Tabular Generative Adversarial Networks<\/strong>. Informatica, 1-34. doi:10.15388\/25-INFOR598<\/td><\/tr><tr><td>B\u00e2ra, A., Georgescu, I. A., &amp; Oprea, S.-V. (2025). Drivers of price volatility in Romania\u2019s electricity markets. <em>Journal of Business Economics and Management<\/em>, <em>26<\/em>(4), 958\u2013981. <a href=\"https:\/\/doi.org\/10.3846\/jbem.2025.24709\">https:\/\/doi.org\/10.3846\/jbem.2025.24709<\/a><\/td><\/tr><tr><td>Oprea, S.-V., &amp; B\u00e2ra, A. (2025). <strong>Is Artificial Intelligence a Game-Changer in Steering E-Business into the Future? Uncovering Latent Topics with Probabilistic Generative Models<\/strong>. <em>Journal of Theoretical and Applied Electronic Commerce Research<\/em>, <em>20<\/em>(1), 16. https:\/\/doi.org\/10.3390\/jtaer20010016<\/td><\/tr><tr><td>Oprea, S.-V., &amp; B\u00e2ra, A. (2025). <strong>Customer-Centric Decision-Making with XAI and Counterfactual Explanations for Churn Mitigation<\/strong>. <em>Journal of Theoretical and Applied Electronic Commerce Research<\/em>, <em>20<\/em>(2), 129. https:\/\/doi.org\/10.3390\/jtaer20020129<\/td><\/tr><tr><td>Oprea, S.-V., &amp; B\u00e2ra, A. (2025). <strong>Transforming Product Discovery and Interpretation Using Vision\u2013Language Models<\/strong>.&nbsp;<em>Journal of Theoretical and Applied Electronic Commerce Research<\/em>,&nbsp;<em>20<\/em>(3), 191. https:\/\/doi.org\/10.3390\/jtaer20030191<\/td><\/tr><tr><td>Oprea, S.-V., &amp; B\u00e2ra, A. (2025). <strong>Extracting Emotions from Customer Reviews Using Text Mining, Large Language Models and Fine-Tuning Strategies<\/strong>.&nbsp;<em>Journal of Theoretical and Applied Electronic Commerce Research<\/em>,&nbsp;<em>20<\/em>(3), 221. https:\/\/doi.org\/10.3390\/jtaer20030221<\/td><\/tr><tr><td><a href=\"https:\/\/www.emerald.com\/insight\/search?q=Simona%20Vasilica%20Oprea\">Oprea, S.V.<\/a>,&nbsp;<a href=\"https:\/\/www.emerald.com\/insight\/search?q=Adela%20B%C3%A2ra\">B\u00e2ra, A.<\/a>&nbsp;(2025), <strong>Analyzing shocks transmission and spillover effect in the day-ahead and intra-day markets. Key implications for price forecasting<\/strong>. <em>J Knowl Econ<\/em>. https:\/\/doi.org\/10.1007\/s13132-025-02603-1<\/td><\/tr><tr><td>B\u00e2ra, A., Oprea, SV. Transformer-based forecasting with synthetic input data generation for day-ahead electricity markets. <em>J. King Saud Univ. Comput. Inf. Sci.<\/em> <strong>37<\/strong>, 233 (2025). https:\/\/doi.org\/10.1007\/s44443-025-00259-0<\/td><\/tr><tr><td>Georgescu, I. A., B\u00e2ra, A., &amp; Oprea, S.-V. (2025). <strong>Life Expectancy and Its Determinants in Selected European Union (EU) and Non-EU Countries in the Mediterranean Region<\/strong>. <em>Sustainability<\/em>, <em>17<\/em>(11), 5103. https:\/\/doi.org\/10.3390\/su17115103<\/td><\/tr><tr><td>A.M. Tanas\u0103, S.V. Oprea, <strong>Rethinking Chart Understanding Using Multimodal Large Language Models<\/strong>, <em>Computers, Materials &amp; Continua<\/em>, <a href=\"https:\/\/doi.org\/10.32604\/cmc.2025.065421\">https:\/\/doi.org\/10.32604\/cmc.2025.06542<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>International conferences in 2025<\/strong><\/td><\/tr><tr><td>Alin-Gabriel V\u0103duva, Anca-Ioana Andreescu, Simona-Vasilica, <em>Assessing the Trustworthiness of Large Language Models: a Two-Stage Framework Using Ragas and LlamaIndex,<\/em> The 24th International Conference on Informatics in Economy (IE 2025), May 15-16, 2025, Bucharest, Romania, published in Proceedings of the International Conference on Economics and Social Sciences, Editura ASE, ISSN: 2704-6524<\/td><\/tr><tr><td>Simona Vasilica Oprea, Adela B\u00e2ra, <em>Development of a Retrieval-Augmented Generation (RAG) chatbot<\/em>, Conferin\u021ba Interna\u021bional\u0103 \u201ePresent Issues of Global Economy\u201d (PIGE) \u2013 edi\u0163ia a 22-a, 19 \u2013 21 iunie 2025, Constanta, \u201cOvidius\u201d University Annals, Economic Sciences Series Volume XXV, Issue 1 \/2025, pp 225-234, ISSN 2393-3119<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Contact<\/h2>\n\n\n\n<p class=\"has-vivid-cyan-blue-color has-text-color has-link-color wp-elements-834bb84fc0a1a5a45f4e1a131eddd1e1 wp-block-paragraph\">prof. Simona Oprea: simona.oprea@csie.ase.ro<\/p>\n\n\n\n<p class=\"has-vivid-cyan-blue-color has-text-color has-link-color wp-elements-7d041953765c3e44310e6f12f6971ffa wp-block-paragraph\">prof. Adela Bara: bara.adela@ie.ase.ro<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A Business Model-Oriented Platform with Applications for Developing Local Electricity Markets and Accelerating Clean Energy Transition (SMART-LEM) Contract no. 43\/2024 Project founded by UEFISCDI within PNCDI IV, total funding: 255.000 euro (budget 250.000 euro, self-funding 5.000 euro) Coordinator: Academia de Studii Economice din Bucuresti (ASE), prof. Simona Oprea Romanian Partner: Lara Business SRL, Dan Florea [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-109","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/smartlem.ase.ro\/index.php?rest_route=\/wp\/v2\/pages\/109","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smartlem.ase.ro\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/smartlem.ase.ro\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/smartlem.ase.ro\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/smartlem.ase.ro\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=109"}],"version-history":[{"count":1,"href":"https:\/\/smartlem.ase.ro\/index.php?rest_route=\/wp\/v2\/pages\/109\/revisions"}],"predecessor-version":[{"id":112,"href":"https:\/\/smartlem.ase.ro\/index.php?rest_route=\/wp\/v2\/pages\/109\/revisions\/112"}],"wp:attachment":[{"href":"https:\/\/smartlem.ase.ro\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=109"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}