2019
DOI: 10.1007/978-3-030-12385-7_8
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A Two-Fold Machine Learning Approach for Efficient Day-Ahead Load Prediction at Hourly Granularity for NYC

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Cited by 3 publications
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“…Although no strict comparative study was conducted, it was found that the MAPE values, obtained for 24 h ahead, are competitive with some recently reported for the NYISO data set, [ 38 , 39 ]. The minimum accuracy was achieved for the MILLWD zone.…”
Section: Results and Discussioncontrasting
confidence: 60%
“…Although no strict comparative study was conducted, it was found that the MAPE values, obtained for 24 h ahead, are competitive with some recently reported for the NYISO data set, [ 38 , 39 ]. The minimum accuracy was achieved for the MILLWD zone.…”
Section: Results and Discussioncontrasting
confidence: 60%