As　China＇s　resource　shortage　and　environmental　pollution　intensify,　the　demand　for　new　energy　and　electric　energy　substitution　is　becoming　higher　and　higher.　Accurately　predicting　the　investment　scale　of　China＇s　new　energy　projects　is　of　great　practical　significance　for　improving　the　efficiency　of　resource　allocation　and　economically　meeting　energy　demand.　This　paper　builds　a　scientific　and　precise　investment　model　for　new　energy　projects　from　both　macro　and　micro　perspectives.　First,　from　a　macro　perspective,　considering　macro　indicators　such　as　the　external　environment　and　internal　economy,　an　annual　total　investment　forecast　model　based　on　multiple　linear　regression　is　constructed,　in　order　to　predict　the　annual　total　investment　scale　of　new　energy　investment　entities　and　achieve　preliminary　accurate　investment;　second,　designed　the　evaluation　index　system　of　different　project　priorities　from　three　perspectives　of　external　environment,　internal　development　of　enterprises　and　social　development,　and　constructed　the　comprehensive　weight　design　method　based　on　AN-EWM　and　the　comprehensive　evaluation　method　of　TOPSIS,　in　order　to　realize　the　priority　of　differentiated　projects.　Sorting;　finally,　a　new　energy　project　located　in　a　city　in　northern　China　is　selected　as　the　research　subject,　and　a　multiscenario　example　analysis　is　carried　out.　The　results　show　that　the　new　energy　project　investment　scale　index　system　constructed　in　this　paper　can　effectively　evaluate　the　investment　capacity　of　the　main　body　of　the　new　energy　project,　and　can　better　predict　the　total　investment　of　the　new　energy　investment　project,　so　that　the　deviation　rate　can　be　controlled　within　5　%,　and　the　priority　evaluation　model　constructed　in　this　paper　can　provide　a　complete　calculation　method　and　a　reference　method　for　the　judgement　of　the　investment　priority,　which　can　promote　accurate　investment.