The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand
收藏IEEE2019-07-15 更新2026-04-17 收录
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https://ieee-dataport.org/documents/use-extreme-value-theory-forecasting-long-term-substation-maximum-electricity-demand-0
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资源简介：
This dataset contains daily maximum load data with the average demand, customer count and PV capacity at two substations Arkana and Muchea, Western Australia used in the accepted IEEE Transactions on Power Systemspaper titled “The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand” by Li and Jones (2019). The dataset spans from 01/01/2008 to 30/06/2022, part history (01/01/2008 to 16/09/2018) and part forecast (17/09/2018 to 30/06/2022). The dataset is beneficial to various research such as long-term load forecast.
创建时间：
2019-07-15
