A Report On The Translation Of A Review Of Artificial Intelligence Based Building Energy Use Prediction:Contrasting The Capabilities Of Single And Ensemble Prediction Models

In recent years,the concept of AI(artificial intelligence)has become increasingly popular and more and more people are concerned about building energy consumption.Therefore,if AI methods can be applied into the field of predicting building energy consumption,it will play a significant role in improving the efficiency of building energy utilization.The translation paper encompasses four parts: task description,process description,case analysis and conclusion.Firstly,the translator briefly introduces the source text,the reasons of the choice as well as the significance;secondly,the translator process includes three major parts,that is,pre-translation preparations for better understanding the source text,the detailed translation process guided by Multiple Stage Translation in combination of the computer-aided Translation Tool and the last but indispensable step of reviewing;thirdly,the translator makes case analysis with specific examples in terms of lexical translation skills,syntactic translation skills and textual translation skills,which is also the crucial part of the translation report.Lastly,in the conclusion part,the translator makes a conclusion including both the experience from the translation task and room needed to be improved.The translation report is aimed to provide reference and insights for translators to accurately finish scientific translation in a rapid manner.