Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings

Research article (Energy and AI, 2020) · cited 81× · AI/ML
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Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings

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Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings. Retrieved May 24, 2026, from https://4ort.xyz/entity/genetic-algorithm-determined-deep-feedforward-neural-network-architecture-for-predicting-electricity-consumption-in-real
MLA “Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/genetic-algorithm-determined-deep-feedforward-neural-network-architecture-for-predicting-electricity-consumption-in-real.
BibTeX @misc{4ortxyz_genetic-algorithm-determined-deep-feedforward-neural-network-architecture-for-predicting-electricity-consumption-in-real_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings}}, year = {2026}, url = {https://4ort.xyz/entity/genetic-algorithm-determined-deep-feedforward-neural-network-architecture-for-predicting-electricity-consumption-in-real}, note = {Accessed: 2026-05-24}}
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