This article provides a state-of-the-art review on emerging applications of smart tools such as data analytics and smart technologies such as internet-of-things in case
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Medium-Term Regional Electricity Load Forecasting through Machine Learning and Deep Learning
Due to severe climate change impact on electricity consumption, as well as new trends in smart grids (such as the
Optimal dispatching of renewable energy-based urban microgrids using a deep learning approach for electrical load and wind power forecasting
Optimal load dispatching plays a vital role in improving the reliability and efficiency of renewable energy systems. This research presents
