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Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of a U.S. commercial building

Research article (Energy Reports, 2025) · cited 14× · AI/ML
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Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of an U.S. commercial building

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Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of an U.S. commercial building is a scholarly article[1].

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  • Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of an U.S. commercial building's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of a U.S. commercial building. Retrieved May 24, 2026, from https://4ort.xyz/entity/advanced-techniques-for-electricity-consumption-prediction-in-buildings-using-comparative-correlation-analysis-data-norm
MLA “Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of a U.S. commercial building.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/advanced-techniques-for-electricity-consumption-prediction-in-buildings-using-comparative-correlation-analysis-data-norm.
BibTeX @misc{4ortxyz_advanced-techniques-for-electricity-consumption-prediction-in-buildings-using-comparative-correlation-analysis-data-norm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of a U.S. commercial building}}, year = {2026}, url = {https://4ort.xyz/entity/advanced-techniques-for-electricity-consumption-prediction-in-buildings-using-comparative-correlation-analysis-data-norm}, note = {Accessed: 2026-05-24}}
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