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In Nordic countries, demand response (DR) programs are critical for enhancing energy flexibility and reducing peak electricity consumption in buildings and industry. Accurate short-term demand forecasting is essential to support these programs, especially in the context of cities with varying levels of data availability. This paper compares three different forecasting approaches for hourly electri
