A ROBUST ENSEMBLE LEARNING FRAMEWORK FOR FORECASTING AIR CONDITIONING ENERGY CONSUMPTION IN EDUCATIONAL BUILDINGS
Results confirm the effectiveness, reliability, and practical application potential of the model in the problem of building electricity load forecasting, and opens up prospects for developing advanced forecasting and assessment models to serve energy management and ensure energy security in the future.