V Oprea
Biographic Data
| ID | 34223 |
|---|---|
| NAME | V Oprea |
| GIVEN NAMES | V |
| FAMILY NAME | Oprea |
| SIGNATURE | OPREA V |
| AFFILIATIONS | Bucharest University of Economic Studies |
| ORCID | 0000-0002-9005-5181 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Is Reading an Upstream Predictor of Science and Mathematics Achievements in Pisa? A Bayesian Network Analysis for Policy Educational Interventions on Socio‐Economic Dispersion and Gender Gaps
This study investigates the structural relationships among reading, science and mathematics performance, socio‐economic dispersion (SES_Variance) and gender gaps using cross‐country PISA 2022 data. The primary objective is to assess whether reading functions as an upstream determinant of academic achievement and to evaluate the causal roles of SES and gender disparities within an integrated probabilistic framework. We employ Bayesian network (BN)…
Trading Strategies on Local Electricity Markets Using Agent‐Based Modelling and Reinforcement Learning: Vectors to Expand Energy Communities
Energy communities (ECs) members have a high degree of heterogeneity. Agent‐based modelling (ABM) allows for the modelling of each entity as an agent with distinct characteristics and decision rules. This is particularly useful when the heterogeneity of agents affects outcomes. Market‐based models handle competition and supply–demand interactions and often rely on aggregate or average behaviours, which might overlook important nuances due to indi…
Interpreting text corpora from androids-related stories using large language models: “Machines like me” by Ian McEwan in generative AI
Ian McEwan’s “Machines like me” presents a scenario where androids demonstrate a limited understanding of the world. In this study, we feed the content of “Machines like me” novel into a chatbot powered by LLMs to analyze how it interprets various questions posed as prompts. We create a private chatbot based on OpenAI API using in-context learning and LangChain orchestration for evaluation. Our focus is on assessing the chatbot’s accuracy in resp…
Economic growth, energy transition and CO2 emissions in the Balkans: A quantile and causality analysis
Controversies surrounding CO 2 emissions in the Balkans revolve around the region's reliance on coal, slow adoption of RES, struggles to meet EU environmental standards, the health impacts of pollution, foreign investments in fossil fuel infrastructure, the environmental consequences of hydropower, and corruption in the energy sector. These issues are deeply intertwined with the region's economic challenges and its efforts to balance immediate ne…
Charting the course: America's energy crossroads and the quest for a sustainable future
Energy and environment views of over 10,000 American respondents are captured in a complex survey created by the Pew Research Center (PRC). This paper is based on data collected during a panel wave that took place in May 2022. The survey aims to capture the nuanced perspectives of a nationally representative group of U.S. adults, with particular attention to ensuring participation from traditionally underrepresented or hard‐to‐reach demographics.…
Economics of utility-scale batteries in Romania under various market conditions
Exploring excitement counterbalanced by concerns towards AI technology using a descriptive-prescriptive data processing method
Given the current pace of technological advancement and its pervasive impact on society, understanding public sentiment is essential. The usage of AI in social media, facial recognition, and driverless cars has been scrutinized using the data collected by a complex survey. To extract insights from data, a descriptive-prescriptive hybrid data processing method is proposed. It includes graphical visualization, cross-tabulation to identify patterns …
Energy communities: Insights from scientific publications
Research background: Over the last ten years, a substantial amount of scholarly research has delved into energy communities (ECs) from diverse viewpoints. These ECs are extremely important in setting the pathway to a clean energy transition. Purpose of the article: Our objective is to glean valuable insights from publications indexed in the Web of Science (WoS) database to deepen our comprehension of ECs and their academic discourse. Methods: Dat…
Generative literature analysis on the rise of prosumers and their influence on the sustainable energy transition
This study delves into the scholarly discourse surrounding prosumers, aiming to chart their historical progression and explore the primary topics that have garnered attention in scientific research. While the concept first appeared in academic literature in 1986, a significant surge in interest was observed starting in 2010, with momentum steadily increasing to the present day. Utilizing the Latent Dirichlet Allocation (LDA) method to examine the…
Energetic Equilibrium: Optimizing renewable and non-renewable energy sources via particle swarm optimization
Are skepticism and moderation dominating attitudes toward AI-based technologies
AI advancements are poised to substantially modify human abilities in the foreseeable future. They include the integration of Brain-Computer Interfaces (BCIs) to augment cognitive functions, the application of gene editing, and the utilization of AI-powered robotic exoskeletons to enhance physical strength. This study employs a comprehensive analytical framework combining factor analysis, clustering, ANOVA, and logistic regression to investigate …
How Fast to Avoid Carbon Emissions: A Holistic View on the RES, Storage and Non-RES Replacement in Romania
The European Union targets aim to replace the non-renewable energy sources (non-RES) of coal, oil and gas (COG) generation with RES and storage (RES-S). The replacement of COG-generating units will lead to a decrease in CO 2 emissions and a better living environment. Starting from this desideratum, in this paper, we create several scenarios to replace COG in Romania with RES-S, reconsider future energy mixes and engage with a more creative planni…
Generative literature analysis on the rise of prosumers and their influence on the sustainable energy transition
This study delves into the scholarly discourse surrounding prosumers, aiming to chart their historical progression and explore the primary topics that have garnered attention in scientific research. While the concept first appeared in academic literature in 1986, a significant surge in interest was observed starting in 2010, with momentum steadily increasing to the present day. Utilizing the Latent Dirichlet Allocation (LDA) method to examine the…
Are skepticism and moderation dominating attitudes toward AI-based technologies
AI advancements are poised to substantially modify human abilities in the foreseeable future. They include the integration of Brain-Computer Interfaces (BCIs) to augment cognitive functions, the application of gene editing, and the utilization of AI-powered robotic exoskeletons to enhance physical strength. This study employs a comprehensive analytical framework combining factor analysis, clustering, ANOVA, and logistic regression to investigate …
How Fast to Avoid Carbon Emissions: A Holistic View on the RES, Storage and Non-RES Replacement in Romania
The European Union targets aim to replace the non-renewable energy sources (non-RES) of coal, oil and gas (COG) generation with RES and storage (RES-S). The replacement of COG-generating units will lead to a decrease in CO 2 emissions and a better living environment. Starting from this desideratum, in this paper, we create several scenarios to replace COG in Romania with RES-S, reconsider future energy mixes and engage with a more creative planni…
Exploring excitement counterbalanced by concerns towards AI technology using a descriptive-prescriptive data processing method
Given the current pace of technological advancement and its pervasive impact on society, understanding public sentiment is essential. The usage of AI in social media, facial recognition, and driverless cars has been scrutinized using the data collected by a complex survey. To extract insights from data, a descriptive-prescriptive hybrid data processing method is proposed. It includes graphical visualization, cross-tabulation to identify patterns …
Energy communities: Insights from scientific publications
Research background: Over the last ten years, a substantial amount of scholarly research has delved into energy communities (ECs) from diverse viewpoints. These ECs are extremely important in setting the pathway to a clean energy transition. Purpose of the article: Our objective is to glean valuable insights from publications indexed in the Web of Science (WoS) database to deepen our comprehension of ECs and their academic discourse. Methods: Dat…
Generative literature analysis on the rise of prosumers and their influence on the sustainable energy transition
This study delves into the scholarly discourse surrounding prosumers, aiming to chart their historical progression and explore the primary topics that have garnered attention in scientific research. While the concept first appeared in academic literature in 1986, a significant surge in interest was observed starting in 2010, with momentum steadily increasing to the present day. Utilizing the Latent Dirichlet Allocation (LDA) method to examine the…
Energetic Equilibrium: Optimizing renewable and non-renewable energy sources via particle swarm optimization
Are skepticism and moderation dominating attitudes toward AI-based technologies
AI advancements are poised to substantially modify human abilities in the foreseeable future. They include the integration of Brain-Computer Interfaces (BCIs) to augment cognitive functions, the application of gene editing, and the utilization of AI-powered robotic exoskeletons to enhance physical strength. This study employs a comprehensive analytical framework combining factor analysis, clustering, ANOVA, and logistic regression to investigate …
Interpreting text corpora from androids-related stories using large language models: “Machines like me” by Ian McEwan in generative AI
Ian McEwan’s “Machines like me” presents a scenario where androids demonstrate a limited understanding of the world. In this study, we feed the content of “Machines like me” novel into a chatbot powered by LLMs to analyze how it interprets various questions posed as prompts. We create a private chatbot based on OpenAI API using in-context learning and LangChain orchestration for evaluation. Our focus is on assessing the chatbot’s accuracy in resp…
Economic growth, energy transition and CO2 emissions in the Balkans: A quantile and causality analysis
Controversies surrounding CO 2 emissions in the Balkans revolve around the region's reliance on coal, slow adoption of RES, struggles to meet EU environmental standards, the health impacts of pollution, foreign investments in fossil fuel infrastructure, the environmental consequences of hydropower, and corruption in the energy sector. These issues are deeply intertwined with the region's economic challenges and its efforts to balance immediate ne…
Charting the course: America's energy crossroads and the quest for a sustainable future
Energy and environment views of over 10,000 American respondents are captured in a complex survey created by the Pew Research Center (PRC). This paper is based on data collected during a panel wave that took place in May 2022. The survey aims to capture the nuanced perspectives of a nationally representative group of U.S. adults, with particular attention to ensuring participation from traditionally underrepresented or hard‐to‐reach demographics.…
Economics of utility-scale batteries in Romania under various market conditions
Is Reading an Upstream Predictor of Science and Mathematics Achievements in Pisa? A Bayesian Network Analysis for Policy Educational Interventions on Socio‐Economic Dispersion and Gender Gaps
This study investigates the structural relationships among reading, science and mathematics performance, socio‐economic dispersion (SES_Variance) and gender gaps using cross‐country PISA 2022 data. The primary objective is to assess whether reading functions as an upstream determinant of academic achievement and to evaluate the causal roles of SES and gender disparities within an integrated probabilistic framework. We employ Bayesian network (BN)…
Trading Strategies on Local Electricity Markets Using Agent‐Based Modelling and Reinforcement Learning: Vectors to Expand Energy Communities
Energy communities (ECs) members have a high degree of heterogeneity. Agent‐based modelling (ABM) allows for the modelling of each entity as an agent with distinct characteristics and decision rules. This is particularly useful when the heterogeneity of agents affects outcomes. Market‐based models handle competition and supply–demand interactions and often rely on aggregate or average behaviours, which might overlook important nuances due to indi…
Computer Science (5 works) · Economics (5 works) · Artificial Intelligence (4 works) · Energy and Environment Impacts (4 works) · Engineering (4 works) · Renewable energy (4 works) · Smart Grid Energy Management (4 works) · Business (3 works) · Hybrid Renewable Energy Systems (3 works) · Integrated Energy Systems Optimization (3 works)