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Innovative Deep Learning Techniques for Energy Data Imputation Using SAITS and USGAN: A Case Study in University Buildings

Daniel Díaz-Bedoya, Alexandre Philippon, Mario Salvador González-Rodríguez, Jean-Michel Clairand. Innovative Deep Learning Techniques for Energy Data Imputation Using SAITS and USGAN: A Case Study in University Buildings. IEEE Access, 12:168468-168476, 2024. [doi]

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Daniel Díaz-Bedoya

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Alexandre Philippon

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Mario Salvador González-Rodríguez

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Jean-Michel Clairand

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