Sotiris Pelekis

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Visual Analytics

Load Forecasting

Top Venues

Publications

Sotiris Pelekis, Theodosios Pountridis, Georgios Kormpakis, George Lampropoulos, Evangelos Karakolis, Spiros Mouzakitis, Dimitris Askounis
DeepTSF: Codeless machine learning operations for time series forecasting. SoftwareX 27 (2024)
Vasilis Michalakopoulos, Sotiris Pelekis, Giorgos Kormpakis, Vagelis Karakolis, Spiros Mouzakitis, Dimitris Askounis
Data-driven building energy efficiency prediction based on envelope heat losses using physics-informed neural networks. CoRR (2023)
Sotiris Pelekis, Ioannis-Konstantinos Seisopoulos, Evangelos Spiliotis, Theodosios Pountridis, Evangelos Karakolis, Spiros Mouzakitis, Dimitris Askounis
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers. CoRR (2023)
Alexandros-Menelaos Tzortzis, Sotiris Pelekis, Evangelos Spiliotis, Spiros Mouzakitis, John E. Psarras, Dimitris Askounis
Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series. CoRR (2023)
Georgios Kormpakis, Panagiotis Kapsalis, Konstantinos Alexakis, Zoi Mylona, Sotiris Pelekis, Vangelis Marinakis
Energy Sector Digitilisation: A Security Framework Application for Role-Based Access Management. IISA (2023)
Sotiris Pelekis, Evangelos Karakolis, Francisco Silva, Vasileios Schoinas, Spiros Mouzakitis, Georgios Kormpakis, Nuno Amaro, John E. Psarras
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance. CoRR (2023)
Sotiris Pelekis, Angelos Pipergias, Evangelos Karakolis, Spiros Mouzakitis, Francesca Santori, Mohammad Ghoreishi, Dimitris Askounis
Towards a real-time demand response framework for smart communities using clustering techniques. CoRR (2023)
Sotiris Pelekis, Evangelos Karakolis, Theodosios Pountridis, Georgios Kormpakis, George Lampropoulos, Spiros Mouzakitis, Dimitris Askounis
DeepTSF: Codeless machine learning operations for time series forecasting. CoRR (2023)
Georgios Kormpakis, Panagiotis Kapsalis, Konstantinos A. Psilopanagiotis, Sotiris Pelekis, Evangelos Karakolis, Haris Ch. Doukas
An Advanced Visualisation Engine with Role-Based Access Control for Building Energy Visual Analytics. IISA (2022)
Sotiris Pelekis, Evangelos Karakolis, Francisco Silva, Vasileios Schoinas, Spiros Mouzakitis, Georgios Kormpakis, Nuno Amaro, John E. Psarras
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance. IISA (2022)
Stylianos Karagiannis, Alexandros Tokatlis, Sotiris Pelekis, Michael Kontoulis, George Doukas, Christos Ntanos, Emmanouil Magkos
A-DEMO: ATT&CK Documentation, Emulation and Mitigation Operations: Deploying and Documenting Realistic Cyberattack Scenarios - A Rootkit Case Study. PCI (2021)
Spiros Mouzakitis, Giannis Tsapelas, Sotiris Pelekis, Simos Ntanopoulos, Dimitris Askounis, Sjoukje A. Osinga, Ioannis N. Athanasiadis
Investigation of Common Big Data Analytics and Decision-Making Requirements Across Diverse Precision Agriculture and Livestock Farming Use Cases. ISESS (2020)
John Violos, Sotiris Pelekis, Anastasis Berdelis, Stylianos Tsanakas, Konstantinos Tserpes, Theodora A. Varvarigou
Predicting Visitor Distribution for Large Events in Smart Cities. BigComp (2019)