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[1] Ning Lu,et al. A comparison of forecast error generators for modeling wind and load uncertainty , 2013, 2013 IEEE Power & Energy Society General Meeting.
[2] Gary W. Chang,et al. Power System Analysis , 1994 .
[3] Xu Andy Sun,et al. Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem , 2013, IEEE Transactions on Power Systems.
[4] Warren B. Powell,et al. Approximate Dynamic Programming: Solving the Curses of Dimensionality (Wiley Series in Probability and Statistics) , 2007 .
[5] B. Ripley,et al. Pattern Recognition , 1968, Nature.
[6] Sridhar Mahadevan,et al. Recent Advances in Hierarchical Reinforcement Learning , 2003, Discret. Event Dyn. Syst..
[7] Thomas G. Dietterich. The MAXQ Method for Hierarchical Reinforcement Learning , 1998, ICML.
[8] Daniel S. Kirschen,et al. Near-Optimal Method for Siting and Sizing of Distributed Storage in a Transmission Network , 2015, IEEE Transactions on Power Systems.
[9] P. Young,et al. Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.
[10] Vincenzo Marano,et al. A stochastic dynamic programming model for co-optimization of distributed energy storage , 2013, Energy Systems.
[11] Allen J. Wood,et al. Power Generation, Operation, and Control , 1984 .
[12] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .
[13] Shie Mannor,et al. Reinforcement learning for the unit commitment problem , 2015, 2015 IEEE Eindhoven PowerTech.
[14] Mohammad Shahidehpour,et al. The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee , 1999 .
[15] Michael Chertkov,et al. Chance-Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty , 2012, SIAM Rev..
[16] Masood Parvania,et al. A Two-Stage Framework for Power Transformer Asset Maintenance Management—Part I: Models and Formulations , 2013, IEEE Transactions on Power Systems.
[17] D. Ernst,et al. The cross-entropy method for power system combinatorial optimization problems , 2007, 2007 IEEE Lausanne Power Tech.
[18] Can Anil,et al. Benchmarking of Data Mining Techniques as Applied to Power System Analysis , 2013 .
[19] Leandros Tassiulas,et al. Optimal Control Policies for Power Demand Scheduling in the Smart Grid , 2012, IEEE Journal on Selected Areas in Communications.
[20] R. Buizza,et al. Neural Network Load Forecasting with Weather Ensemble Predictions , 2002, IEEE Power Engineering Review.
[21] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[22] Daniel Urieli,et al. TacTex'13: A Champion Adaptive Power Trading Agent , 2014, AAAI.
[23] Mohammad Shahidehpour,et al. Security-Constrained Generation and Transmission Outage Scheduling With Uncertainties , 2010, IEEE Transactions on Power Systems.
[24] Nicola Secomandi,et al. An Approximate Dynamic Programming Approach to Benchmark Practice-Based Heuristics for Natural Gas Storage Valuation , 2010, Oper. Res..
[25] Daniel Bienstock,et al. Optimal control of cascading power grid failures , 2011, IEEE Conference on Decision and Control and European Control Conference.
[26] Warren B. Powell,et al. Handbook of Learning and Approximate Dynamic Programming , 2006, IEEE Transactions on Automatic Control.
[27] Warren B. Powell,et al. “Approximate dynamic programming: Solving the curses of dimensionality” by Warren B. Powell , 2007, Wiley Series in Probability and Statistics.
[28] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[29] M. B. Cain,et al. History of Optimal Power Flow and Formulations , 2012 .
[30] Masood Parvania,et al. A two-stage framework for power transformer asset maintenance management—Part I: Models and formulations , 2013, 2013 IEEE Power & Energy Society General Meeting.
[31] Patrick Panciatici,et al. iTesla: Innovative tools for electrical system security within large areas , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.
[32] Doina Precup,et al. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning , 1999, Artif. Intell..
[33] András Lörincz,et al. Learning Tetris Using the Noisy Cross-Entropy Method , 2006, Neural Computation.
[34] Bruno Scherrer,et al. Classification-based Policy Iteration with a Critic , 2011, ICML.
[35] Richard P. O'Neill,et al. History of Optimal Power Flow and Formulations Optimal Power Flow Paper 1 , 2012 .
[36] Anthony Papavasiliou,et al. Multiarea Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained Network , 2013, Oper. Res..
[37] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[38] N.P. Padhy,et al. Unit commitment-a bibliographical survey , 2004, IEEE Transactions on Power Systems.
[39] Warren B. Powell,et al. Optimal Hour-Ahead Bidding in the Real-Time Electricity Market with Battery Storage Using Approximate Dynamic Programming , 2014, INFORMS J. Comput..
[40] Warren B. Powell,et al. A comparison of approximate dynamic programming techniques on benchmark energy storage problems: Does anything work? , 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).
[41] M. Fotuhi-Firuzabad,et al. An Efficient Mixed-Integer Linear Formulation for Long-Term Overhead Lines Maintenance Scheduling in Power Distribution Systems , 2009, IEEE Transactions on Power Delivery.
[42] Roy Billinton,et al. Reliability evaluation of power systems , 1984 .
[43] Warren B. Powell,et al. Tutorial on Stochastic Optimization in Energy—Part I: Modeling and Policies , 2016, IEEE Transactions on Power Systems.
[44] Shie Mannor,et al. A Tutorial on the Cross-Entropy Method , 2005, Ann. Oper. Res..
[45] G. Sheblé,et al. Power generation operation and control — 2nd edition , 1996 .
[46] Stuart J. Russell,et al. Reinforcement Learning with Hierarchies of Machines , 1997, NIPS.