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05/26/2023
Calibration of Transformer-based Models for Identifying Stress and Depression in Social Media
In today's fast-paced world, the rates of stress and depression present ...
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03/01/2023
Towards a real-time demand response framework for smart communities using clustering techniques
The present study explores the use of clustering techniques for the desi...
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02/25/2023
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance
In power grids, short-term load forecasting (STLF) is crucial as it cont...
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02/23/2023
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers
Short-term load forecasting (STLF) is vital for the daily operation of p...
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02/05/2021
Designing a Cyber-security Culture Assessment Survey Targeting Critical Infrastructures During Covid-19 Crisis
The paper at hand presents the design of a survey aiming at the cyber-se...
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12/26/2020
