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What is Energy Demand Forecasting Review about?

This article presents a systematic review of energy demand forecasting methods tailored for developing countries, emphasizing the need for efficient industrialization and reduced CO2 emissions. It evaluates various forecasting models, particularly highlighting the superiority of Artificial Neural Networks (ANN) hybridized with meta-heuristic techniques for load forecasting. The study identifies trends, research gaps, and provides recommendations for improving forecasting accuracy in the context of developin

Author

rarifkhan652

Language

EN