А. Ю. Шелестов

Short-Term Electricity Consumption Forecasting in the Republic of Karelia using Recurrent Neural Networks

This paper presents a study on short-term electricity consumption forecasting for the Republic of Karelia using a hybrid LSTM-GRU recurrent neural network architecture. The dataset comprises hourly electricity load data for the period 2016-2023. Various combinations of input features, including meteorological factors a...