Dynamic modelling of consumers’ inconvenience associated with demand flexibility potentials
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Goran Strbac | Evelyn Heylen | Goran Strbac | Dimitrios Papadaskalopoulos | Ioannis Konstantelos | G. Strbac | I. Konstantelos | D. Papadaskalopoulos | Evelyn Heylen
[1] M. Amin,et al. Toward self-healing energy infrastructure systems , 2001 .
[2] Juan M. Morales,et al. Real-Time Demand Response Model , 2010, IEEE Transactions on Smart Grid.
[3] G. Strbac,et al. Integrating customers' differentiated supply valuation in distribution network planning and charging , 2016, 2016 13th International Conference on the European Energy Market (EEM).
[4] Vincent W. S. Wong,et al. Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid , 2010, IEEE Transactions on Smart Grid.
[5] Iain Dunning,et al. JuMP: A Modeling Language for Mathematical Optimization , 2015, SIAM Rev..
[6] H. Paul Williams,et al. Logic and Integer Programming , 2009, Logic and Integer Programming.
[7] Chau Yuen,et al. Peak-to-Average Ratio Constrained Demand-Side Management With Consumer's Preference in Residential Smart Grid , 2014, IEEE Journal of Selected Topics in Signal Processing.
[8] Evelyn Heylen,et al. Fairness and inequality in power system reliability: Summarizing indices , 2019 .
[9] Alan Edelman,et al. Julia: A Fresh Approach to Numerical Computing , 2014, SIAM Rev..
[10] Evelyn Heylen,et al. How detailed value of lost load data impact power system reliability decisions , 2019, Energy Policy.
[11] Hoay Beng Gooi,et al. Procurement of interruptible load services in electricity supply systems , 2012 .
[12] E. Hoffman,et al. Willingness-To-Pay vs. Willingness-To-Accept: Legal and Economic Implications, , 1993 .
[13] Xiao-Jun Zeng,et al. A Stackelberg game-theoretic approach to optimal real-time pricing for the smart grid , 2013, Soft Comput..
[14] Goran Strbac,et al. Integrating wet appliances with delay functionality in distribution network operation and planning , 2017 .
[15] Evelyn Heylen,et al. Impact of increased uncertainty in power systems on performance of short term reliability management , 2016, 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).
[16] H. K. Khouzani. Integrating consumers' supply valuation and flexibility in distribution network planning and charging , 2016 .
[17] James Konow,et al. Which Is the Fairest One of All? A Positive Analysis of Justice Theories , 2003 .
[18] Fernando L. Alvarado,et al. Using Utility Information to Calibrate Customer Demand Management Behavior Models , 2001 .
[19] Chen Chen,et al. An innovative RTP-based residential power scheduling scheme for smart grids , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[20] Danny Pudjianto,et al. Quantifying the Potential Economic Benefits of Flexible Industrial Demand in the European Power System , 2018, IEEE Transactions on Industrial Informatics.
[21] Xiao-Jun Zeng,et al. A Profit Maximization Approach to Demand Response Management with Customers Behavior Learning in Smart Grid , 2016, IEEE Transactions on Smart Grid.
[22] Siripha Junlakarn,et al. Distribution System Reliability Options and Utility Liability , 2014, IEEE Transactions on Smart Grid.
[23] Lingfeng Wang,et al. Autonomous Appliance Scheduling for Household Energy Management , 2014, IEEE Transactions on Smart Grid.
[24] Gerd Kjolle,et al. Incorporating short interruptions and time dependency of interruption costs in continuity of supply regulation , 2009 .
[25] Warren B. Powell,et al. “Approximate dynamic programming: Solving the curses of dimensionality” by Warren B. Powell , 2007, Wiley Series in Probability and Statistics.