Data on Energy Reported by Researchers at Xi’an University of Technology Design Optimization of Rural Building In Dry-hot and Dry-cold Area Using a Back Propagation (Bp) Neural Network

摘要

By a News Reporter-Staff News Editor at Network Daily News – Researchers detail new data in Energy. According to news reporting originating from Shaanxi, People’s Republic of China, by NewsRx correspondents, research stated, “This study describes the numerical analyses of the indoor air temperature of the earth building located in dry-hot and dry-cold area in order to evaluate the effects of the passive design parameters on the indoor environment and then determine the optimal values of the design parameters. Firstly, a short-term monitoring was performed in an existing earth building, aiming to validate the numerical building model developed by using an advanced simulation software EnergyPlus.”