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Sotiris Pelekis

Data-driven building energy efficiency prediction based on envelope heat losses using physics-informed neural networks

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Nov 14, 2023
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Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series

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Oct 24, 2023
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DeepTSF: Codeless machine learning operations for time series forecasting

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Jul 28, 2023
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Towards a real-time demand response framework for smart communities using clustering techniques

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Mar 01, 2023
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In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance

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Feb 25, 2023
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A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers

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Feb 23, 2023
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