Sotiris Pelekis

Orcid: 0000-0002-9259-9115

According to our database1, Sotiris Pelekis authored at least 11 papers between 2019 and 2023.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Data-driven building energy efficiency prediction based on envelope heat losses using physics-informed neural networks.
CoRR, 2023

Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series.
CoRR, 2023

DeepTSF: Codeless machine learning operations for time series forecasting.
CoRR, 2023

Towards a real-time demand response framework for smart communities using clustering techniques.
CoRR, 2023

A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers.
CoRR, 2023

Energy Sector Digitilisation: A Security Framework Application for Role-Based Access Management.
Proceedings of the 14th International Conference on Information, 2023

2022
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance.
Proceedings of the 13th International Conference on Information, 2022

An Advanced Visualisation Engine with Role-Based Access Control for Building Energy Visual Analytics.
Proceedings of the 13th International Conference on Information, 2022

2021
A-DEMO: ATT&CK Documentation, Emulation and Mitigation Operations: Deploying and Documenting Realistic Cyberattack Scenarios - A Rootkit Case Study.
Proceedings of the PCI 2021: 25th Pan-Hellenic Conference on Informatics, Volos, Greece, November 26, 2021

2020
Investigation of Common Big Data Analytics and Decision-Making Requirements Across Diverse Precision Agriculture and Livestock Farming Use Cases.
Proceedings of the Environmental Software Systems. Data Science in Action, 2020

2019
Predicting Visitor Distribution for Large Events in Smart Cities.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019


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