A hybrid model for forecasting short-term electricity demand

Study of Short-Term Load Forecasting Techniques

M Songkin, F Wong, S Abang, YH Tung… - … on Green Energy …, 2024 - ieeexplore.ieee.org
Electric demand forecasting is increasingly challenging in the modern grid system, with
emerging technologies like rooftop solar photovoltaics and vehicle electrification. Multiple …
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Convolutional Neural Network Based Detection of Seasonal Features in Time Series Data

K Hu, K Yue - 2022 IEEE 11th Global Conference on Consumer …, 2022 - ieeexplore.ieee.org
Seasonal features of various kinds of time-varying nodes in large-scale complex networks
could facilitate the effective network optimization. It is necessary to find the nodes with …
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