摘要：Advanced building controls and energy optimization for new constructions and retrofits rely on accurate weather ***,most studies utilize airport weather information as the decision ***,most buildings are in environments that are quite different than those at the airport miles *** cover,adjacent buildings,and micro-climate effects caused by the larger surrounding area can all yield deviations in air temperature,humidity,solar irradiance,and wind that are large enough to influence design and operation *** order to overcome this challenge,there are many prior studies on developing weather forecasting algorithms from micro-to *** paper reviews and complies knowledge on common weather data resources,data processing methodologies and forecasting techniques of weather *** used statistical,machine learning and physical-based models are discussed and presented as two major categories:deterministic forecasting and probabilistic ***,evaluation metrics for forecasting errors are listed and discussed.