Abstract: In IoT-enabled fog-cloud systems, energy-efficient task scheduling presents a significant problem due to fluctuating workloads, different resources, and demanding deadline requirements.
Abstract: This article presents a deep neural network model that integrates long short-term memory (LSTM), fuzzy logic, and self-attention mechanism to enhance short-term power load forecasting, ...
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