A load forecasting method based on edge graph attention network. [PDF]
Gu M, Li X, Cai Y.
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A hybrid LSTM-transformer model for short-term urban electricity load forecasting: a two-city case study. [PDF]
Liu H +5 more
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A multi-component hybrid model for renewable energy integrated grid power load forecasting: DWT, SAE, and FA-LSTM. [PDF]
Peng S, Zhu J.
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DG-LSTM-SA model: A deep gated LSTM network with self-attention mechanism for power generation and load forecasting. [PDF]
Sun G, Zhao Y, Li J, Cui J, Qi X.
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TransGrid-CostOpt: A hybrid transformer framework for cost prediction and optimization of distribution network assets. [PDF]
Xiong W +6 more
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Temporal forecasting of electric vehicle charging load using an IVY-VMD-TCN-BiLSTM model with cross-zone evaluation. [PDF]
Zhang W, Ma B, Wang D.
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An optimization method for flexible interconnection planning based on improved CNN-LSTM prediction and tunable relative entropy-driven chaotic evolution. [PDF]
Zhao X +5 more
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Comparative evaluation of several models for forecasting hourly electricity use in a steel plant. [PDF]
Gu F, Zhao Y.
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Dynamic temporal partitioning enhanced transformer for pediatric viral load forecasting. [PDF]
Li S +6 more
europepmc +1 more source
Impact of accurate load forecasting on electricity market stability in Japan using classical time-series and deep-learning methods. [PDF]
Rabie D, Moradi M, Xuan W, Farzaneh H.
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