Machine learning prediction of ORC performance based on properties of working fluid
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Release time:2021-08-20 Impact Factor:5.295 Journal:Applied Thermal Engineering Co-author:Zhou Naijun, Liu Jinghang, Su Wen*, Lin Xinxing First Author:Peng Yannan Indexed by:Journal paper Discipline:Engineering Translation or Not:no Date of Publication:2021-06-02 Included Journals:SCI -
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 Zip Code:c576f0c85848a14d10428d1b79269fc7d68bde9ba6ecb95648b168a03671c3821c778c2bedf0cae5d03c95a065c3a5efa4243241acb9eb6089885db6f9f3fa7f5b7491eb5af48e7ab43d253e29e0fa6991b0af260ac98903cc7fbca150cb2fc86cb6bd41d95f78a263ba3d6f6aa504ee56cdd8693f2e6f13b576940cee3633de Postal Address:3fe60fe854ecd1ab96d1ea94421922bc49cc36b2371bf8bc4cf44be6a56d2c22ceceb3f532a84a9c995fa81490cf424f1bb1358158617004a746c07d9f36cc80afafca2099c3dd470c1afea1fcfb929c95798b9cff46bd497ab57419d1b2780d338a274a66939a4afdaeb7f00a012089fcd120345099b4abf6ef6921f936f106 Email:1e96ed60725abaed3a5d16c3f5896851a57ae9c77692a6e8066fcac0f66b17b963b6456e799181896cef00b8d23e3bed4a479a4871e6c9b3fdc38bd19ab3469b1914add1569541e3f2e4ad9a0502343a0e4d23076788040a8428668a0b89876d0cd64d96f47db1be384e14588d0dff221936ed7fbe41ee38db7a53d6cb3f604d
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