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The Deep Fuzzy Nets (DFN) approach has been proposed as a novel technique that combines the capabilities of deep learning and fuzzy login to optimize energy ...
Aug 8, 2024 · The proposed approach can provide accurate and reliable predictions and enhancing energy efficiency in a dynamic and evolving smart grid ...
The proposed approach introduces a fuzzy method with a new class and associated membership function that determines an approximate initial value applied to SOC ...
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Oct 22, 2024 · Their approach combines micro-clustering with bidirectional LSTM networks, categorizing data hourly to allocate distinct forecasting units and ...
Sep 27, 2024 · This study proposes a novel optimization framework that integrates fuzzy decision support and unstructured data processing technologies.
Jul 24, 2024 · This research aims to enhance the efficiency of solar power generation systems in a smart grid context using machine learning hybrid models.
A potential answer to these problems is the hybrid neuro-fuzzy approach, which combines neural networks with fuzzy logic to handle adaptive control and load ...
Neural network based optimization approach for energy demand prediction in smart grid ... Application of Internet of Energy in Smart Grids Using Deep ...
Jun 22, 2024 · This survey paper comprises an extensive review of the several AI techniques used for power optimization as well as a methodical analysis of the literature.
Mar 6, 2014 · Deep fuzzy nets approach for energy efficiency optimization in smart grids. Abstract. Using smart grids has become crucial for achieving ...