Adela Bara
Orcid: 0000-0002-0961-352X
According to our database1,
Adela Bara
authored at least 54 papers
between 2008 and 2024.
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Bibliography
2024
Anomaly Detection in Weather Phenomena: News and Numerical Data-Driven Insights into the Climate Change in Romania's Historical Regions.
Int. J. Comput. Intell. Syst., December, 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
Devising single in-out long short-term memory univariate models for predicting the electricity price on the day-ahead markets.
Connect. Sci., December, 2024
Sensors, June, 2024
Is Bitcoin ready to be a widespread payment method? Using price volatility and setting strategies for merchants.
Electron. Commer. Res., June, 2024
On-grid and off-grid photovoltaic systems forecasting using a hybrid meta-learning method.
Knowl. Inf. Syst., April, 2024
Insights into Bitcoin and energy nexus. A Bitcoin price prediction in bull and bear markets using a complex meta model and SQL analytical functions.
Appl. Intell., April, 2024
The Impact of Academic Publications over the Last Decade on Historical Bitcoin Prices Using Generative Models.
J. Theor. Appl. Electron. Commer. Res., March, 2024
What makes electricity consumers change their behavior? Influence of attitude and perceived impact of DR programs on awareness.
Kybernetes, 2024
An ensemble learning method for Bitcoin price prediction based on volatility indicators and trend.
Eng. Appl. Artif. Intell., 2024
Corrections to "Exploring the Dynamics of Brent Crude Oil, S&P500 and Bitcoin Prices Amid Economic Instability".
IEEE Access, 2024
Exploring the Dynamics of Brent Crude Oil, S&P500 and Bitcoin Prices Amid Economic Instability.
IEEE Access, 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
Appl. Intell., November, 2023
Peer Peer Netw. Appl., March, 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
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
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
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 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
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
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
Proceedings of the 24th International Conference on System Theory, Control and Computing, 2020
2019
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
Proceedings of the 8th International Conference on Electronics, 2016
2008
Technology Vs Business Needs in Business Intelligence Projects.
Proceedings of the ICE-B 2008, 2008