Elissaios Sarmas
Orcid: 0000-0002-1330-6872
According to our database1,
Elissaios Sarmas authored at least 44 papers
between 2020 and 2026.
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Bibliography
2026
A federated Artificial Intelligence testing and experimentation facility for the European energy sector.
Eng. Appl. Artif. Intell., 2026
2025
Data-driven Day Ahead Market Prices Forecasting: A Focus on Short Training Set Windows.
CoRR, June, 2025
From Transformers to Large Language Models: A systematic review of AI applications in the energy sector towards Agentic Digital Twins.
CoRR, June, 2025
FLEXiT: A platform for estimating residential energy flexibility for aggregated & disaggregated demand-side management.
SoftwareX, 2025
Appl. Soft Comput., 2025
Energy Urban Domain: Personalized Evaluation of Expert and Non-Expert Stakeholder Interaction With Artificial Intelligence Through ChatGPT Using the VIRTSI Model.
IEEE Access, 2025
Equilibrium Analysis of Day-Ahead Electricity Markets With Strategic Demand Aggregators Based on the Theory of Learning in Games.
IEEE Access, 2025
Which AI and How Trusted by Human Energy Stakeholders? Comparing Generative AI ChatGPT With Domain Specific AI-ENERGIA-SYS.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025
A Meta-Learning Framework for Short-Term Wind Power Forecasting with SCADA and Weather Data.
Proceedings of the 16th International Conference on Information, 2025
Proceedings of the 16th International Conference on Information, 2025
An Urban Data Management Platform for Bridging Trusted Ecosystems, Dataspaces, and Digital Twins.
Proceedings of the 16th International Conference on Information, 2025
Proceedings of the 16th International Conference on Information, 2025
Proceedings of the 16th International Conference on Information, 2025
Transforming Educational Buildings Into Self-Sufficient Hubs of Youth Energy Communities: A Case Study in Riga, Latvia.
Proceedings of the 16th International Conference on Information, 2025
Athens Energy Portal: A Digital Energy Platform for Intelligent Energy Management of Smart Cities.
Proceedings of the 16th International Conference on Information, 2025
Trustworthy Integration of Generative AI and LLMs in the Energy Digital Spine: Epistemic Risk Models and Trust Performance Indicators.
Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025
A Simulation Framework for Battery Optimization Under Extreme Energy Imbalance Using Machine Learning Forecasting.
Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025
2024
Appl. Soft Comput., December, 2024
Baseline energy modeling for improved measurement and verification through the use of ensemble artificial intelligence models.
Inf. Sci., January, 2024
A multi-dimensional unsupervised machine learning framework for clustering residential heat load profiles.
CoRR, 2024
Integrating Dynamic Correlation Shifts and Weighted Benchmarking in Extreme Value Analysis.
CoRR, 2024
Home Energy Management Systems: Challenges, Heterogeneity & Integration Architecture Towards A Smart City Ecosystem.
CoRR, 2024
Evaluating Non-Expert Stakeholder Interaction with Artificial Intelligence on Energy Urban Domain Using VIRTSI: The Case of ChatGPT.
Proceedings of the 15th International Conference on Information, 2024
A Web-Based Decision Support Tool for Efficiently Monitoring and Upgrading HVAC Systems.
Proceedings of the 15th International Conference on Information, 2024
Aggregated Flexibility Dynamic Forecasting of Residential Energy Prosumers for DR Programs.
Proceedings of the 15th International Conference on Information, 2024
Proceedings of the 15th International Conference on Information, 2024
Proceedings of the 15th International Conference on Information, 2024
Home Energy Management Systems: Challenges, Heterogeneity & Integration Architecture Towards A Smart City Ecosystem.
Proceedings of the IEEE International Conference on Engineering, 2024
2023
Correction: A data-driven multicriteria decision making tool for assessing investments in energy efficiency.
Oper. Res., March, 2023
A Machine Learning-Based Framework for Clustering Residential Electricity Load Profiles to Enhance Demand Response Programs.
CoRR, 2023
Proceedings of the 14th International Conference on Information, 2023
Proceedings of the 14th International Conference on Information, 2023
A Next Generation Library of AI-Based Data-Driven Services for the Built Environment.
Proceedings of the 14th International Conference on Information, 2023
Building a Data Lake for Smart Building Data: Architecture for Data Quality and Interoperability.
Proceedings of the 14th International Conference on Information, 2023
Proceedings of the 14th International Conference on Information, 2023
Proceedings of the 14th International Conference on Information, 2023
A Quantitative Methodology to Support Local Governments in Climate Change Adaptation and Mitigation Actions.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
A data-driven multicriteria decision making tool for assessing investments in energy efficiency.
Oper. Res., 2022
Proceedings of the 13th International Conference on Information, 2022
Proceedings of the 13th International Conference on Information, 2022
2021
A Data-Driven Decision Support Tool at the service of Energy suppliers and Utilities for Tackling Energy Poverty: A case study in Greece.
Proceedings of the 12th International Conference on Information, 2021
2020
Proceedings of the 11th International Conference on Information, 2020