Athanasios Salamanis
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LSTM-Based Deep Learning Models for Long-Term Tourism Demand Forecasting Open
Tourism demand forecasting comprises an important task within the overall tourism demand management process since it enables informed decision making that may increase revenue for hotels. In recent years, the extensive availability of big …
View article: EXA2PRO: A Framework for High Development Productivity on Heterogeneous Computing Systems
EXA2PRO: A Framework for High Development Productivity on Heterogeneous Computing Systems Open
Programming upcoming exascale computing systems is expected to be a major challenge. New programming models are required to improve programmability, by hiding the complexity of these systems from application developers. The EXA2PRO program…
Utilizing Hybrid Feature Extraction, Tree-Based Learning and Data-Lightweight Model Re-Training for Accurate Short-Term and Day-Ahead Residential Load Forecasting Open
Residential load forecasting is one of the most important tasks of the overall supply management process in electrical grids, since it enables smart grid services such as demand response (DR). Hence, several approaches for accurate residen…
Utilizing Hybrid Feature Extraction, Tree-Based Learning and Data-Lightweight Model Re-Training for Accurate Short-Term and Day-Ahead Residential Load Forecasting Open
Residential load forecasting is one of the most important tasks of the overall supply management process in electrical grids, since it enables smart grid services such as demand response (DR). Hence, several approaches for accurate residen…
Traveller pre and post-questionnaires of mainstream and in depth users of the 2nd iteration phase Open
The dataset contains the travellers’ pre- and post-questionnaires of the second evaluation phase in the MyCorridor project, which was a semi-real-world test. Each spreadsheet indicates the source of the data (pre, post, mainstream or in de…
Mobility analytic results Open
The dataset contains information about the trips made by the participants with the MyCorridor app within the context of the second iteration phase in the MyCorridor project. The collected information is related to certain trip characterist…
Traveller pre and post-questionnaires of mainstream and in depth users of the 2nd iteration phase Open
The dataset contains the travellers’ pre- and post-questionnaires of the second evaluation phase in the MyCorridor project, which was a semi-real-world test. Each spreadsheet indicates the source of the data (pre, post, mainstream or in de…
Service providers pre and post-questionnaires of the 1st and 2nd iteration phase Open
The dataset contains information on the pre- and post-questionnaires of the service providers of the first and second evaluation period. Each spreadsheet indicates the source of the data (pre or post). The questions are related to the back…
Service providers pre and post-questionnaires of the 1st and 2nd iteration phase Open
The dataset contains information on the pre- and post-questionnaires of the service providers of the first and second evaluation period. Each spreadsheet indicates the source of the data (pre or post). The questions are related to the back…
Mobility analytic results Open
The dataset contains information about the trips made by the participants with the MyCorridor app within the context of the second iteration phase in the MyCorridor project. The collected information is related to certain trip characterist…
Benchmark Comparison of Analytical, Data-Based and Hybrid Models for Multi-Step Short-Term Photovoltaic Power Generation Forecasting Open
Accurately forecasting power generation in photovoltaic (PV) installations is a challenging task, due to the volatile and highly intermittent nature of solar-based renewable energy sources. In recent years, several PV power generation fore…
On the Evaluation of a Cluster-based Reputation Assessment Mechanism for Carpooling Applications Open
Carpooling is a mobility concept that appears to be the answer when it comes to challenges in urban mobility derived by population growth. In carpooling, the same amount of people move with fewer vehicles leading to reduced traffic congest…
Reputation assessment mechanism for carpooling applications based on clustering user travel preferences Open
One way to ensure sustainable and environmental friendly mobility is the use of less vehicles for carrying more passengers, and carpooling is a means to achieve this goal. One major concern in carpooling services is related to trust, as ca…
An Interactive Visual Analytics Platform for Smart Intelligent Transportation Systems Management Open
The reduction of road congestion requires intuitive urban congestion-control platforms that can facilitate transport stakeholders in decision making. Interactive ITS visual analytics tools can be of significant assistance, through their re…
Identifying patterns under both normal and abnormal traffic conditions for short-term traffic prediction Open
In this paper we propose a model for accurate traffic prediction under both normal and abnormal conditions. The model is based on the identification of the traffic patterns shown under both normal and abnormal conditions using the density-…
A Probabilistic Framework for the Reliability Assessment of Crowd Sourcing Urban Traffic Reports Open
Incidents produce heavy congestion in large urban traffic networks and therefore real time information about them (e.g. location, timestamp, type) can be very useful for the drivers. An efficient way of gathering this type of information i…