Simona-Vasilica Oprea

Orcid: 0000-0002-9005-5181

According to our database1, Simona-Vasilica Oprea authored at least 46 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Machine Learning Algorithms for Power System Sign Classification and a Multivariate Stacked LSTM Model for Predicting the Electricity Imbalance Volume.
Int. J. Comput. Intell. Syst., December, 2024

Predicting Day-Ahead Electricity Market Prices through the Integration of Macroeconomic Factors and Machine Learning Techniques.
Int. J. Comput. Intell. Syst., December, 2024

On-grid and off-grid photovoltaic systems forecasting using a hybrid meta-learning method.
Knowl. Inf. Syst., April, 2024

2023
Forecasting the Spot Market Electricity Price with a Long Short-Term Memory Model Architecture in a Disruptive Economic and Geopolitical Context.
Int. J. Comput. Intell. Syst., December, 2023

A stacked ensemble forecast for photovoltaic power plants combining deterministic and stochastic methods.
Appl. Soft Comput., November, 2023

Intelligent system to optimally trade at the interference of multiple crises.
Appl. Intell., November, 2023

An Edge-Fog-Cloud computing architecture for IoT and smart metering data.
Peer Peer Netw. Appl., March, 2023

Bitcoin volatility in bull <i>vs</i>. bear market-insights from analyzing on-chain metrics and Twitter posts.
PeerJ Comput. Sci., 2023

Unraveling the Impact of Lockdowns on E-commerce: An Empirical Analysis of Google Analytics Data during 2019-2022.
J. Theor. Appl. Electron. Commer. Res., 2023

The Impact of Data Science Solutions on the Company Turnover.
Inf., 2023

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 Syst. Appl., 2023

Understanding Climate Change and Air Quality Over the Last Decade: Evidence From News and Weather Data Processing.
IEEE Access, 2023

Conceptual Architecture of a Blockchain Solution for E-Voting in Elections at the University Level.
IEEE Access, 2023

euAirQuality: Real-time Visualization and Analysis of European Air Quality.
Proceedings of the IEEE International Smart Cities Conference, 2023

2022
Corrigendum to "A signaling game-optimization algorithm for residential energy communities implemented at the edge-computing side" [Comput. Ind. Eng. 169 (2022) 108272].
Comput. Ind. Eng., 2022

A signaling game-optimization algorithm for residential energy communities implemented at the edge-computing side.
Comput. Ind. Eng., 2022

Digital Humanism and a Quantitative Analysis of Users Behavior in Virtual Exhibitions during the Pandemic Context.
Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

Mobility, COVID-19 cases and virus reproduction rate data analysis for Romania using Machine Learning Algorithms.
Proceedings of the 26th International Conference on System Theory, Control and Computing , 2022

2021
Edge and fog computing using IoT for direct load optimization and control with flexibility services for citizen energy communities.
Knowl. Based Syst., 2021

Optimizing the Electricity Consumption with a High Degree of Flexibility Using a Dynamic Tariff and Stackelberg Game.
J. Optim. Theory Appl., 2021

Insights into demand-side management with big data analytics in electricity consumers' behaviour.
Comput. Electr. Eng., 2021

Machine learning classification algorithms and anomaly detection in conventional meters and Tunisian electricity consumption large datasets.
Comput. Electr. Eng., 2021

Big Data Processing for Commercial Buildings and Assessing Flexibility in the Context of Citizen Energy Communities.
IEEE Access, 2021

Insights Into Energy Indicators Analytics Towards European Green Energy Transition Using Statistics and Self-Organizing Maps.
IEEE Access, 2021

Insights with Big Data Analysis for Commercial Buildings Flexibility in the Context of Smart Cities.
Proceedings of the 10th International Conference on Smart Cities and Green ICT Systems, 2021

Machine Leaning Algorithms and Time Series Feature Extraction Library for Electricity Consumption Fraud Detection in Smart Grids.
Proceedings of the 25th International Conference on System Theory, Control and Computing, 2021

Blockchain Applications in Smart Grid A Review and a Case Study.
Proceedings of the Information Systems, 2021

2020
Peak shaving and technical loss minimization in distribution grids: a time-of-use-based pricing approach for distribution service tariffs.
Turkish J. Electr. Eng. Comput. Sci., 2020

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.
Comput. Ind., 2020

Enlightening Customers on Merits of Demand-Side Load Control: A Simple-But-Efficient-Platform.
IEEE Access, 2020

A Trading Simulator Model for the Wholesale Electricity Market.
IEEE Access, 2020

Two Novel Blockchain-Based Market Settlement Mechanisms Embedded Into Smart Contracts for Securely Trading Renewable Energy.
IEEE Access, 2020

Setting the Time-of-Use Tariff Rates With NoSQL and Machine Learning to a Sustainable Environment.
IEEE Access, 2020

Peak Shaving Algorithms for Residential Consumers. A Comparative Study.
Proceedings of the 24th International Conference on System Theory, Control and Computing, 2020

2019
Day-ahead electricity consumption optimization algorithms for smart homes.
Comput. Ind. Eng., 2019

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, 2019

Sliding Time Window Electricity Consumption Optimization Algorithm for Communities in the Context of Big Data Processing.
IEEE Access, 2019

Machine Learning Algorithms for Short-Term Load Forecast in Residential Buildings Using Smart Meters, Sensors and Big Data Solutions.
IEEE Access, 2019

Big Data solutions - data ingestion and stream processing for demand response management.
Proceedings of the 23rd International Conference on System Theory, Control and Computing, 2019

Shifting Optimization Algorithm for Flattening the Electricity Consumption Peak of Residential Communities.
Proceedings of the 23rd International Conference on System Theory, Control and Computing, 2019

2018
PV Forecasting Using Support Vector Machine Learning in a Big Data Analytics Context.
Symmetry, 2018

Developing a Mixed Neural Network Approach to Forecast the Residential Electricity Consumption Based on Sensor Recorded Data.
Sensors, 2018

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.
Comput. Ind. Eng., 2018

2017
Promoting peak shaving while minimizing electricity consumption payment for residential consumers by using storage devices.
Turkish J. Electr. Eng. Comput. Sci., 2017

Informatics Solutions for Smart Trading on Wholesale Electricity Markets Containing RES Bidders.
Proceedings of the 18th International Conference on Computer Systems and Technologies, 2017

2016
Prosumers' renewable small-size generation forecasting analyses with ARIMA models.
Proceedings of the 8th International Conference on Electronics, 2016


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