Bayesian CNN-BiLSTM and Vine-GMCM Based Probabilistic Forecasting of Hour-Ahead Wind Farm Power Outputs (Input dataset)

- Citation Author(s):
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Mingzhe Zou (The University of Edinburgh)Ninoslav Holjevac (The University of Zagreb)Josip Đaković (The University of Zagreb)Igor Kuzle (The University of Zagreb)Roberto Langella (University of Campania "Luigi Vanvitelli")Vincenzo Di Giorgio (University of Campania "Luigi Vanvitelli")Sasa Djokic (The University of Edinburgh)
- Submitted by:
- Josip Djakovic
- Last updated:
- DOI:
- 10.21227/y2rj-xb73
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Abstract
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.
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