Bayesian CNN-BiLSTM and Vine-GMCM Based Probabilistic Forecasting of Hour-Ahead Wind Farm Power Outputs (Input dataset)
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https://ieee-dataport.org/documents/bayesian-cnn-bilstm-and-vine-gmcm-based-probabilistic-forecasting-hour-ahead-wind-farm
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资源简介：
The dataset represents the input data on which the article Bayesian CNN-BiLSTM and Vine-GMCM Based Probabilistic Forecasting of Hour-Ahead Wind Farm Power Outputs, is based. The data consist of a two-year hourly time series of measured wind speed and direction, air density, and production of two wind farms (WTs) in Croatia (Bruška and Jelinak). In addition to the two listed WTs, measurements of two nearby WTs (Glunca and Zelengrad) are also attached in training files (these WPPs are not directly analyzed in the article). Datasets are divided into a training set (4 WTs) and a test set (Bruska and Jelinak only). To extend the test dataset, additional data (extended_test files) were used in the paper, in which the timestamps used for the validation of proposed forecasting models are indicated.
提供机构：
IEEE DataPort
创建时间：
2022-01-18
