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In this study, Energy Integrated Planning Support System (EnerISS) which is a low-carbon urban energy plan technology was used to predict urban climate and energy consumption for a cooling period. The results of the urban cooling energy demand prediction were verified by a comparison with real energy consumption unit DB of a domestic city in Korea. For urban climate prediction, the temperature was spatially classified into high-temperature areas around public housing and roads where many vehicles move and low-temperature areas adjacent to the sea. The residential facilities comprised approximately 70% of the target research area, therefore, the overall energy consumption pattern showed similar results to the sensible load pattern for residences. The predicted urban energy demand for a cooling period using EnerISS was 0.20%-0.44% lower than the actual energy consumption.
