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2020 – today
- 2024
[j1]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: 101758 (2024)- 2023
- [c7]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: 1-10 - [c6]Spiros Mouzakitis, Ourania I. Markaki, Katerina Papapostolou, Evangelos Karakolis, Sotiris Pelekis, John E. Psarras:
Enhancing Decision Support Systems for the Energy Sector with Sustainable Artificial Intelligence Solutions. IntelliSys (2) 2023: 61-70 - [i6]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 abs/2302.12168 (2023) - [i5]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 abs/2302.13046 (2023) - [i4]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 abs/2303.00186 (2023) - [i3]Sotiris Pelekis, Evangelos Karakolis, Theodosios Pountridis, Georgios Kormpakis, George Lampropoulos, Spiros Mouzakitis, Dimitris Askounis:
DeepTSF: Codeless machine learning operations for time series forecasting. CoRR abs/2308.00709 (2023) - [i2]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 abs/2310.15555 (2023) - [i1]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 abs/2311.08035 (2023) - 2022
- [c5]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: 1-8 - [c4]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: 1-8 - 2021
- [c3]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: 328-333 - 2020
- [c2]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: 139-150
2010 – 2019
- 2019
- [c1]John Violos, Sotiris Pelekis, Anastasis Berdelis, Stylianos Tsanakas, Konstantinos Tserpes, Theodora A. Varvarigou:
Predicting Visitor Distribution for Large Events in Smart Cities. BigComp 2019: 1-8
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