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

Citation Author(s):
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:
Tue, 01/18/2022 - 15:56
DOI:
10.21227/y2rj-xb73
Data Format:
License:
5
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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.

Instructions: 

Check the Readme document.