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HYBRID DEEP LEARNING FRAMEWORKS FOR WEATHER PREDICTION AND ENERGY DEMAND FORECASTING
Accurate weather and energy demand forecasting are essential for the development of smart energy systems, renewable energy integration, and climate-resilient infrastructure in the Cyprus region. Increasing climate variability and the nonlinear nature of energy systems have reduced the effectiveness
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