Elissaios Sarmas

Orcid: 0000-0002-1330-6872

According to our database1, Elissaios Sarmas authored at least 44 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

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

A hyperparameter-space clustering methodology of residential electricity loads.
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

Quantum Enhanced Energy Blockchain for Peer-to-Peer Trading.
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

Non-Intrusive Load Monitoring Using Cluster-Optimized Denoising Autoencoders.
Proceedings of the 16th International Conference on Information, 2025

Short-Term Forecasting of Hydropower Plant Generation Using the Prophet Model.
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
Unsupervised domain adaptation methods for photovoltaic power forecasting.
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

Multi-Criteria Building Performance Assessment.
Proceedings of the 15th International Conference on Information, 2024

Future Heat Risk Index: The Case of Attica Regions, Greece.
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

A Unified Framework for Querying Dynamic and Semantic Data Sources.
Proceedings of the 14th International Conference on Information, 2023

An Integrated AI-Based Information System for Energy Forecasting.
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

A Web-Based Service Supporting Local Governments in SECAP Implementation activities.
Proceedings of the 14th International Conference on Information, 2023

Application of Big Data Analytics in the Electrical Sector: A Real Case Study.
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

An Integrated ML-Ops Framework for Automating AI-based Photovoltaic Forecasting.
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

Comparison of Machine Learning Classifiers for Exchange Rate Trend Forecasting.
Proceedings of the 13th International Conference on Information, 2022

A web-based Building Automation and Control Service.
Proceedings of the 13th International Conference on Information, 2022

2021
A python-based multicriteria portfolio selection DSS.
RAIRO Oper. Res., 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
Web-based Application for Screening Energy Efficiency Investments: A MCDA Approach.
Proceedings of the 11th International Conference on Information, 2020


  Loading...