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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
- [c8]Konstantinos Touloumis, Panagiotis Kapsalis, Elissaios Sarmas, Stathis Stamatopoulos, Evangelos Karakolis, Vaggelis Marinakis:
A Unified Framework for Querying Dynamic and Semantic Data Sources. IISA 2023: 1-7 - [c7]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 - [i4]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) - [i3]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) - [i2]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) - [i1]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) - 2022
- [c6]Konstantinos Alexakis, Panagiotis Kapsalis, Zoi Mylona, Georgios Kormpakis, Evangelos Karakolis, Christos Ntanos, Dimitris Askounis:
Intelligent Querying for Implementing Building Aggregation Pipelines. IISA 2022: 1-6 - [c5]Panagiotis Kapsalis, Georgios Kormpakis, Konstantinos A. Psilopanagiotis, Evangelos Karakolis, Spiros Mouzakitis, Dimitris Askounis:
A Reasoning Engine Architecture for Building Energy Metadata Management. IISA 2022: 1-7 - [c4]Evangelos Karakolis, Konstantinos Alexakis, Panagiotis Kapsalis, Spiros Mouzakitis, John E. Psarras:
An end-to-end approach for scalable real time Anomaly detection in smart buildings. IISA 2022: 1-7 - [c3]Evangelos Karakolis, Panagiotis Foivos Oikonomidis, Dimitrios Askounis:
Identifying and Addressing Ethical Challenges in Recommender Systems. IISA 2022: 1-6 - [c2]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 - [c1]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
Coauthor Index
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