화학공학소재연구정보센터
검색결과 : 136건
No. Article
41 A deep learning and gamification approach to improving human-building interaction and energy efficiency in smart infrastructure
Konstantakopoulos IC, Barkan AR, He SY, Veeravalli T, Liu HH, Spanos C
Applied Energy, 237, 810, 2019
42 Assessment of deep recurrent neural network-based strategies for short-term building energy predictions
Fan C, Wang JY, Gang WJ, Li SH
Applied Energy, 236, 700, 2019
43 Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques
Cai MM, Pipattanasomporn M, Rahman S
Applied Energy, 236, 1078, 2019
44 Reinforcement learning for demand response: A review of algorithms and modeling techniques
Vazquez-Canteli JR, Nagy Z
Applied Energy, 235, 1072, 2019
45 Intelligent simultaneous fault diagnosis for solid oxide fuel cell system based on deep learning
Zhang ZH, Li SH, Xiao YW, Yang YP
Applied Energy, 233, 930, 2019
46 Big data driven lithium-ion battery modeling method based on SDAE-ELM algorithm and data pre-processing technology
Li SQ, He HW, Li JW
Applied Energy, 242, 1259, 2019
47 Deep learning-based feature engineering methods for improved building energy prediction
Fan C, Sun YJ, Zhao Y, Song MJ, Wang JY
Applied Energy, 240, 35, 2019
48 Data fusion in predicting internal heat gains for office buildings through a deep learning approach
Wang Z, Hong TZ, Piette MA
Applied Energy, 240, 386, 2019
49 Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China
Huang ZJ, Mendis T, Xu S
Applied Energy, 250, 283, 2019
50 Daily natural gas consumption forecasting via the application of a novel hybrid model
Wei N, Li CJ, Peng XL, Li Y, Zeng FH
Applied Energy, 250, 358, 2019