research
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07/28/2023
DeepTSF: Codeless machine learning operations for time series forecasting
This paper presents DeepTSF, a comprehensive machine learning operations...
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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
