| Big data mining for smart cities: predicting traffic congestion using classification A Mystakidis, C Tjortjis 2020 11th International Conference on Information, Intelligence, Systems and …, 2020 | 25 | 2020 |
| Energy generation forecasting: elevating performance with machine and deep learning A Mystakidis, E Ntozi, K Afentoulis, P Koukaras, P Gkaidatzis, D Ioannidis, ... Computing 105 (8), 1623-1645, 2023 | 23 | 2023 |
| Energy Forecasting: A Comprehensive Review of Techniques and Technologies A Mystakidis, P Koukaras, N Tsalikidis, D Ioannidis, C Tjortjis Energies 17 (7), 1662, 2024 | 14 | 2024 |
| Energy load forecasting: One-step ahead hybrid model utilizing ensembling N Tsalikidis, A Mystakidis, C Tjortjis, P Koukaras, D Ioannidis Computing 106 (1), 241-273, 2024 | 13 | 2024 |
| Predicting covid-19 ICU needs using deep learning, XGBoost and random forest regression with the sliding window technique A Mystakidis, N Stasinos, A Kousis, V Sarlis, P Koukaras, D Rousidis, ... IEEE Smart Cities, 1-6, 2021 | 13 | 2021 |
| One step ahead energy load forecasting: A multi-model approach utilizing machine and deep learning A Mystakidis, E Ntozi, K Afentoulis, P Koukaras, G Giannopoulos, N Bezas, ... 2022 57th International universities power engineering conference (UPEC), 1-6, 2022 | 10 | 2022 |
| Integrating Blockchain in Smart Grids for Enhanced Demand Response: Challenges, Strategies, and Future Directions P Koukaras, KD Afentoulis, PA Gkaidatzis, A Mystakidis, D Ioannidis, ... Energies 17 (5), 1007, 2024 | 9 | 2024 |
| A tri-model prediction approach for COVID-19 ICU bed occupancy: a case study N Stasinos, A Kousis, V Sarlis, A Mystakidis, D Rousidis, P Koukaras, ... Algorithms 16 (3), 140, 2023 | 5 | 2023 |
| Optimizing Building Short-Term Load Forecasting: A Comparative Analysis of Machine Learning Models P Koukaras, A Mustapha, A Mystakidis, C Tjortjis Energies 17 (6), 1450, 2024 | 4 | 2024 |
| Urban traffic congestion prediction: a multi-step approach utilizing sensor data and weather information N Tsalikidis, A Mystakidis, P Koukaras, M Ivaškevičius, L Morkūnaitė, ... Smart Cities 7 (1), 233-253, 2024 | 3 | 2024 |
| Power Load Forecasting: A Time-Series Multi-Step Ahead and Multi-Model Analysis A Mystakidis, N Tsalikidis, P Koukaras, C Kontoulis, PA Gkaidatzis, ... 2023 58th International Universities Power Engineering Conference (UPEC), 1-6, 2023 | 1 | 2023 |
| Traffic congestion prediction and missing data: a classification approach using weather information A Mystakidis, C Tjortjis International Journal of Data Science and Analytics, 1-20, 2024 | | 2024 |
| Graph Databases in Smart City Applications–Using Neo4j and Machine Learning for Energy Load Forecasting 7 A Mystakidis Graph Databases, 142-156, 2023 | | 2023 |
| Data Mining for Smart Cities: Traffic Congestion Prediction A Mystakidis, O Geromichalou, C Tjortjis 2023 14th International Conference on Information, Intelligence, Systems …, 2023 | | 2023 |
| Traffic Congestion Prediction: A Machine Learning Approach O Geromichalou, A Mystakidis, C Tjortjis International Conference on Information, Intelligence, Systems, and …, 2023 | | 2023 |
| Big Data Mining For Smart Cities A Mystakidis | | 2020 |
| IEEE Smart Cities IEEE Smart Cities A Mystakidis, N Stasinos, A Kousis, V Sarlis, P Koukaras, D Rousidis, ... | | |