| 1 |
Management of photovoltaic excess electricity generation via the power to hydrogen concept: A year-round dynamic assessment using Artificial Neural Networks
Allouhi A
International Journal of Hydrogen Energy, 45(41), 21024, 2020 |
| 2 |
Sequential grid approach based support vector regression for short-term electric load forecasting
Yang YL, Che JX, Deng CZ, Li L
Applied Energy, 238, 1010, 2019 |
| 3 |
Effects of battery technology and load scalability on stand-alone PV/ICE hybrid micro-grid system performance
Das BK, Al-Abdeli YM, Woolridge M
Energy, 168, 57, 2019 |
| 4 |
Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm-A case study of papermaking process
Hu YS, Li JG, Hong MN, Ren JZ, Lin RJ, Liu Y, Liu MR, Man Y
Energy, 170, 1215, 2019 |
| 5 |
A residual load modeling approach for household short-term load forecasting application
Amara F, Agbossou K, Dube Y, Kelouwani S, Cardenas A, Hosseini SS
Energy and Buildings, 187, 132, 2019 |
| 6 |
Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks
Rahman A, Srikumar V, Smith AD
Applied Energy, 212, 372, 2018 |
| 7 |
A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model
Mohan N, Soman KP, Kumar SS
Applied Energy, 232, 229, 2018 |
| 8 |
Subsampled support vector regression ensemble for short term electric load forecasting
Li YY, Che JX, Yang YL
Energy, 164, 160, 2018 |
| 9 |
Parallel and reliable probabilistic load forecasting via quantile regression forest and quantile determination
Zhang WJ, Quan H, Srinivasan D
Energy, 160, 810, 2018 |
| 10 |
Assessment of primary energy consumption, carbon dioxide emissions, and peak electric load for a residential fuel cell using empirical natural gas and electricity use profiles
Nagasawa K, Rhodes JD, Webber ME
Energy and Buildings, 178, 242, 2018 |
