Abstract
The article presents the results of the study of an artificial neural network model of the LSTM type for short-term fore-casting of the values of positive and negative imbalances of electric energy in the IPS of Ukraine. The analysis of fore-casting results obtained with the help of hyperparameter optimization models and different window lengths and com-bining them into an ensemble of models was performed. Conducted research based on actual data of the balancing market of electric energy of Ukraine showed the effectiveness of using the specified models to solve the given problem. Ref. 10, fig. 3, tab. 3. Keywords: short-term forecasting, electricity imbalances, neural networks.
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