118 citations · 189 across the 14 of their papers we have counts for
7 papers · 1 filter
On Electric Vehicle Energy Demand Forecasting and the Effect of Federated Learning
Andreas Tritsarolis, Gil Sampaio, Nikos Pelekis +1
The wide spread of new energy resources, smart devices, and demand side management strategies has motivated several analytics operations, from infrastructure load modeling to user…
Bikelution: Federated Gradient-Boosting for Scalable Shared Micro-Mobility Demand Forecasting
Antonios Tziorvas, Andreas Tritsarolis, Yannis Theodoridis
The rapid growth of dockless bike-sharing systems has generated massive spatio-temporal datasets useful for fleet allocation, congestion reduction, and sustainable mobility. Bike d…
MoDE-Boost: Boosting Shared Mobility Demand with Edge-Ready Prediction Models
Antonios Tziorvas, George S. Theodoropoulos, Yannis Theodoridis
Urban demand forecasting plays a critical role in optimizing routing, dispatching, and congestion management within Intelligent Transportation Systems. By leveraging data fusion an…
Electric Vehicle Charging Load Forecasting: An Experimental Comparison of Machine Learning Methods
Iason Kyriakopoulos, Yannis Theodoridis
With the growing popularity of electric vehicles as a means of addressing climate change, concerns have emerged regarding their impact on electric grid management. As a result, pre…
FLP-XR: Future Location Prediction on Extreme Scale Maritime Data in Real-time
George S. Theodoropoulos, Andreas Patakis, Andreas Tritsarolis +1
Movements of maritime vessels are inherently complex and challenging to model due to the dynamic and often unpredictable nature of maritime operations. Even within structured marit…
On Vessel Location Forecasting and the Effect of Federated Learning
Andreas Tritsarolis, Nikos Pelekis, Konstantina Bereta +2
The wide spread of Automatic Identification System (AIS) has motivated several maritime analytics operations. Vessel Location Forecasting (VLF) is one of the most critical operatio…
Moving Objects Analytics: Survey on Future Location & Trajectory Prediction Methods
Harris Georgiou, Sophia Karagiorgou, Yannis Kontoulis +4
The tremendous growth of positioning technologies and GPS enabled devices has produced huge volumes of tracking data during the recent years. This source of information constitutes…