| 1 |
Day-ahead renewable scenario forecasts based on generative adversarial networks
Jiang CM, Mao YF, Chai Y, Yu MB
International Journal of Energy Research, 45(5), 7572, 2021 |
| 2 |
State of charge estimation of a Li-ion battery based on extended Kalman filtering and sensor bias
Al-Gabalawy M, Hosny NS, Dawson JA, Omar AI
International Journal of Energy Research, 45(5), 6708, 2021 |
| 3 |
Some Aspects of Combining Data and Models in Process Engineering
Heese R, Nies J, Bortz M
Chemie Ingenieur Technik, 92(7), 856, 2020 |
| 4 |
An on-line framework for monitoring nonlinear processes with multiple operating modes
Tan RM, Cong T, Ottewill JR, Baranowski J, Thornhill NF
Journal of Process Control, 89, 119, 2020 |
| 5 |
머신러닝 기법을 활용한 LDPE 공정의 이상 감지
이창송, 이규황, 이호경
Korean Chemical Engineering Research, 58(2), 224, 2020 |
| 6 |
Improving response of wind turbines by pitch angle controller based on gain-scheduled recurrent ANFIS type 2 with passive reinforcement learning
Hosseini E, Aghadavoodi E, Ramirez LMF
Renewable Energy, 157, 897, 2020 |
| 7 |
Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset
Park JY, Yang XY, Miller C, Arjunan P, Nagy Z
Applied Energy, 236, 1280, 2019 |
| 8 |
A time series clustering approach for Building Automation and Control Systems
Bode G, Schreiber T, Baranski M, Muller D
Applied Energy, 238, 1337, 2019 |
| 9 |
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 |
| 10 |
Self-configuring event detection in electricity monitoring for human-building interaction
Afzalan M, Jazizadeh F, Wang J
Energy and Buildings, 187, 95, 2019 |
