- A, P. ; M J J, S. ; A, S. ; K P, B. ; N S, P. ; K, A. Probabilistic wind power forecasting using optimized deep auto-regressive recurrent neural networks. 2023 IEEE Trans. Ind. Inf.. 19 2814-2825
Paper not yet in RePEc: Add citation now
- Amos, B. ; Kolter, J.Z. Optnet: differentiable optimization as a layer in neural networks. 2017 PMLR:
Paper not yet in RePEc: Add citation now
- Bixby, B. The gurobi optimizer. 2007 Transp. Re-search Part B. 41 159-178
Paper not yet in RePEc: Add citation now
- Blundell, C. ; Cornebise, J. ; Kavukcuoglu, K. ; Wierstra, D. Weight uncertainty in neural network. 2015 PMLR:
Paper not yet in RePEc: Add citation now
Borrelli, F. ; Bemporad, A. ; Morari, M. Geometric algorithm for multiparametric linear programming. 2003 J. Optim. Theor. Appl.. 118 515-540
- Christie, R. Power systems test case archive. 2000 University of Washington:
Paper not yet in RePEc: Add citation now
- Cplex, I.I. V12. 1: user's manual for CPLEX. 2009 International Business Machines Corporation. 46 157-
Paper not yet in RePEc: Add citation now
Elmachtoub, A.N. ; Grigas, P. Smart 'predict, then optimize. 2022 Manag. Sci.. 68 9-26
- G, Z. ; W, W. ; S, M. ; C, L. ; M, S. Two-timescale dynamic energy and reserve dispatch with wind power and energy storage. 2023 IEEE Trans. Sustain. Energy. 14 490-503
Paper not yet in RePEc: Add citation now
- Goan, E. ; Fookes, C. Bayesian Neural Networks: an Introduction and Survey. 2020 :
Paper not yet in RePEc: Add citation now
Hossain, E. ; Roy, S. ; Mohammad, N. ; Nawar, N. ; Dipta, D.R. Metrics and enhancement strategies for grid resilience and reliability during natural disasters. 2021-01-01 2021 Appl. Energy. 290 -
- Hu, B. ; Xie, K. ; Tai, H. Inverse problem of power system reliability evaluation: analytical model and solution method. 2018 IEEE Trans. Power Syst.. 33 6569-6578
Paper not yet in RePEc: Add citation now
- Kleywegt, A.J. ; Shapiro, A. ; Homem-De-Mello, T. The sample average approximation method for stochastic discrete optimization. 2002 SIAM J. Optim.. 12 479-502
Paper not yet in RePEc: Add citation now
- L, L. ; W, Z. ; Z, J. ; Z, L. ; T, Z. ; T, Z. A VMD and LSTM based hybrid model of load forecasting for power grid security. 2022 IEEE Trans. Ind. Inf.. 18 6474-6482
Paper not yet in RePEc: Add citation now
- L, S. ; L, C. ; S, Y. ; L, F. ; L, D. ; F, Y. Stochastic planning of integrated energy system via Frank-Copula function and scenario reduction. 2022 IEEE Trans. Smart Grid. 13 202-212
Paper not yet in RePEc: Add citation now
Ma, C. ; Xu, X. ; Pang, X. ; Li, X. ; Zhang, P. ; Liu, L. Scenario-based ultra-short-term rolling optimal operation of a photovoltaic-energy storage system under forecast uncertainty. 2024-01-01 2024 Appl. Energy. 356 -
- Mullachery, V. ; Khera, A. ; Husain, A. Bayesian Neural Networks. 2018 :
Paper not yet in RePEc: Add citation now
- Novacheck, J. The Evolving Role of Extreme Weather Events in the US Power System with High Levels of Variable Renewable Energy. 2021 National Renewable Energy Lab.(NREL): Golden, CO (United States)
Paper not yet in RePEc: Add citation now
- P, F. ; H H, S. ; D, P. ; S, E. ; F, M. Uncertainty cost of stochastic producers: metrics and impacts on power grid flexibility. 2022 IEEE Trans. Eng. Manag.. 69 708-719
Paper not yet in RePEc: Add citation now
- Pena, I. ; Martinez-Anido, C.B. ; Hodge, B. An extended IEEE 118-bus test system with high renewable penetration. 2017 IEEE Trans. Power Syst.. 33 281-289
Paper not yet in RePEc: Add citation now
- Rau, N.S. ; Wan, Y. Optimum location of resources in distributed planning. 1994 IEEE Trans. Power Syst.. 9 2014-2020
Paper not yet in RePEc: Add citation now
- S, K. ; A, M. ; A, K. ; A, M. ; S, M.E.E. Deep learning in IoT: an LSTM approach for NDVI forecasting. 2023 En : 2023 3rd International Conference on Electronic Engineering (ICEEM). :
Paper not yet in RePEc: Add citation now
- Stott, B. ; Jardim, J. ; Alsaç, O. DC power flow revisited. 2009 IEEE Trans. Power Syst.. 24 1290-1300
Paper not yet in RePEc: Add citation now
- Ti, B. ; Li, G. ; Zhou, M. ; Wang, J. Resilience assessment and improvement for cyber-physical power systems under typhoon disasters. 2022 IEEE Trans. Smart Grid. 13 783-794
Paper not yet in RePEc: Add citation now
- Wang, Y. ; Yao, Q. ; Kwok, J.T. Generalizing from a few examples: a survey on few-shot learning. 2020 ACM Comput. Surv.. 53 1-34
Paper not yet in RePEc: Add citation now
- Wang, Z. ; Hong, T. ; Li, H. Informing the planning of rotating power outages in heat waves through data analytics of connected smart thermostats for residential buildings. 2021-01-01 2021 Environ. Res. Lett.. 16 -
Paper not yet in RePEc: Add citation now
- Yuan, Z. ; Li, P. ; Li, Z. ; Xia, J. Data-driven risk-adjusted robust energy management for microgrids integrating demand response aggregator and renewable energies. 2023 IEEE Trans. Smart Grid. 14 365-377
Paper not yet in RePEc: Add citation now
- Zhang, Y. ; Yu, L. ; Fang, Z. ; Xiong, N.N. ; Zhang, L. ; Tian, H. An end-to-end deep learning model for robust smooth filtering identification. 2022 Future Generat. Comput. Syst.. 127 263-275
Paper not yet in RePEc: Add citation now