乌克兰综合电力不平衡日计划预测

Q3 Energy

Technical Electrodynamics Pub Date : 2022-07-04 DOI:10.15407/techned2022.04.059

V. Sychova

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引用次数: 0

摘要

在乌克兰现代电力市场的条件下，短期预测电力失衡问题的紧迫性得到了证实。使用自回归模型ARIMA、VARMA和在其基础上开发的具有可再生能源发电预测值影响的组合模型预测电力不平衡日图的结果的比较。对所得结果的分析表明，VARMA向量自回归模型具有准确的结果。参考文献11，图2，表2。

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FORECASTING OF DAILY SCHEDULES OF OVERALL ELECTRICITY IMBALANCES IPS OF UKRAINE

The urgency of the problem of short-term forecasting of electricity imbalances in the conditions of the modern electricity market of Ukraine is substantiated. A comparison of the results of forecasting daily graphs of electricity imbalances using autoregressive models ARIMA, VARMA and developed on their basis combined models with the influence of predicted values of generation of renewable sources. Analysis of the obtained results shows that the VARMA vector autoregression model has accurate results. References 11, figures 2, tables 2.

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来源期刊

Technical Electrodynamics Energy-Energy Engineering and Power Technology

CiteScore

1.80

自引率

0.00%

发文量

审稿时长

4 weeks