| 1 |
Data-driven modeling for river flood forecasting based on a piecewise linear ARX system identification
Hadid B, Duviella E, Lecoeuche S
Journal of Process Control, 86, 44, 2020 |
| 2 |
What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification
Miller C
Energy and Buildings, 199, 523, 2019 |
| 3 |
Using clustering based logical equation set to decompose large scale chemical processes for parallel solving data reconciliation and parameter estimation problem
Zhang ZJ, Chuang YY, Chen JH
Chemical Engineering Research & Design, 120, 396, 2017 |
| 4 |
A hybrid method based on a new clustering technique and multilayer perceptron neural networks for hourly solar radiation forecasting
Azimi R, Ghayekhloo M, Ghofrani M
Energy Conversion and Management, 118, 331, 2016 |
| 5 |
Adaptive nonparametric control chart for time-varying and multimodal processes
Kang JH, Yu J, Kim SB
Journal of Process Control, 37, 34, 2016 |
| 6 |
POINTWISE CONVERGENCE OF THE LLOYD I ALGORITHM IN HIGHER DIMENSION
Pages G, Yu J
SIAM Journal on Control and Optimization, 54(5), 2354, 2016 |
| 7 |
Power prediction of soiled PV module with neural networks using hybrid data clustering and division techniques
Pulipaka S, Kumar R
Solar Energy, 133, 485, 2016 |
| 8 |
A novel clustering approach for short-term solar radiation forecasting
Ghayekhloo M, Ghofrani M, Menhaj MB, Azimi R
Solar Energy, 122, 1371, 2015 |
| 9 |
Forecasting electricity consumption by clustering data in order to decrease the periodic variable's effects and by simplifying the pattern
Keyno HRS, Ghaderi F, Azade A, Razmi J
Energy Conversion and Management, 50(3), 829, 2009 |
| 10 |
Clustering-based performance optimization of the boiler-turbine system
Kusiak A, Song Z
IEEE Transactions on Energy Conversion, 23(2), 651, 2008 |
