Power Market Load Forecasting on Neural Network With Beneficial Correlated Regularization.

IEEE Transactions on Industrial Informatics(2018)

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摘要
In day-ahead market (DAM), load serving entities (LSEs) are required to submit their future load schedule to market operator. Due to the cost computation, we have found the inconformity between load accuracy and cost of power purchase. It means that more accurate load forecasting model may not lead to a lower cost for LSEs. Accuracy pursuing load forecast model may not target a solution with optim...
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关键词
Load forecasting,Load modeling,Predictive models,Power markets,Schedules,Training,Real-time systems
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