Advances in Data Mining Knowledge Discovery and Applications 2012
DOI: 10.5772/48657
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Electricity Load Forecasting Using Data Mining Technique

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Cited by 4 publications
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“…In the error result analysis, the ARIMAX method produce a more accurate forecast when compared with machine learning-based regression as it has the least MAPE in each of the ten selected smart meters (Ding et al, 2013). Razak et al (2012) forecasted load by developing five different technique of SARIMA for different days of the week. The data from Peninsular Malaysia was used as the input to the developed techniques.…”
Section: Related Workmentioning
confidence: 99%
“…In the error result analysis, the ARIMAX method produce a more accurate forecast when compared with machine learning-based regression as it has the least MAPE in each of the ten selected smart meters (Ding et al, 2013). Razak et al (2012) forecasted load by developing five different technique of SARIMA for different days of the week. The data from Peninsular Malaysia was used as the input to the developed techniques.…”
Section: Related Workmentioning
confidence: 99%