| 1 |
A new methodology for kick detection during petroleum drilling using long short-term memory recurrent neural network
Osarogiagbon A, Muojeke S, Venkatesan R, Khan F, GillardCentre P
Process Safety and Environmental Protection, 142, 126, 2020 |
| 2 |
Prediction of time series for several hours of surface solar irradiance using one-granule cloud property data from satellite observations
Watanabe T, Nohara D
Solar Energy, 186, 113, 2019 |
| 3 |
Identifying key impact factors on carbon emission: Evidences from panel and time-series data of 125 countries from 1990 to 2011
Shuai CY, Shen LY, Jiao LD, Wu Y, Tan YT
Applied Energy, 187, 310, 2017 |
| 4 |
Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability
Pfenninger S
Applied Energy, 197, 1, 2017 |
| 5 |
Using hidden Markov model to identify oscillation temporal pattern for control loops
Yan ZB, Chen JH, Zhang ZJ
Chemical Engineering Research & Design, 119, 117, 2017 |
| 6 |
Temporal knowledge discovery in big BAS data for building energy management
Fan C, Xiao F, Madsen H, Wang D
Energy and Buildings, 109, 75, 2015 |
| 7 |
Dynamic eccentricity fault diagnosis in round rotor synchronous motors
Ebrahimi BM, Etemadrezaei M, Faiz J
Energy Conversion and Management, 52(5), 2092, 2011 |
| 8 |
Stability analysis and control design of LTI discrete-time systems by the direct use of time series data
Park US, Ikeda M
Automatica, 45(5), 1265, 2009 |
| 9 |
Study of forecasting on time series data by nearest neighbor method
Hanakuma Y, Yamamoto J
KAGAKU KOGAKU RONBUNSHU, 27(2), 272, 2001 |
