A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms
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gudi, 2012, A demand side management based simulation platform incorporating heuristic optimization for management of household appliances, Int J Electr Power Energy Syst, 43, 185, 10.1016/j.ijepes.2012.05.023
xiao, 0, Near optimal demand-side energy management under real-time demand-response pricing, Proc IEEE CNSM, 527
kraning, 2013, Dynamic network energy management via proximal message passing, Optimization, 1, 70
kok, 0, Powermatcher: Multiagent control in the electricity infrastructure, Proc AAMAS, 75
aarts, 1989, Simulated Annealing and Boltzmann Machines A Stochastic Approach to Combinatorial Optimization and Neural Computing
jiang, 0, Multi-period optimal procurement and demand responses in the presence of uncertain supply, Proc IEEE CDC, 1
cao, 0, Optimal demand response using mechanism design in the smart grid, Proc 31th CCC, 2520
zhong, 0, Coupon incentive-based demand response (CIDR) in smart grid, Proc IEEE PES Gen Meet, 1
oh, 2008, Demand-side bidding agents: Modeling and simulation, IEEE Trans Power Syst, 24, 1050
marwan, 0, A demand-side response smart grid scheme to mitigate electrical peak demands and access renewable energy sources, Proc 48th AuSES Solar, 1
liliccote, 0, Findings from seven years of field performance data for automated demand response in commercial buildings, Proc ACE, 1
garey, 1979, Computers and Intractability A Guide to the Theory of NP-Completeness
borwein, 2006, Convex Analysis and Nonlinear Optimization Theory and Examples (3), 10.1007/978-0-387-31256-9
zhong, 2013, Smart grid communications: Overview of research challenges, solutions, standardization activities, IEEE Commun Surveys Tuts, 15, 21, 10.1109/SURV.2011.122211.00021
2006, Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them
2006, Reducing electricity consumption in houses
lamparter, 0, An agent-based market platform for smart grids, Proc AAMAS, 1689
2014, Annual Energy Outlook 2014
alcazar-ortega, 2011, Evaluation and Assessment of New Demand Response Programs Based on the Use of Flexibility in Industrial Processes Application to the Food Industry
lo, 2012, The progressive smart grid system from both power and communications aspects, IEEE Commun Surveys Tuts, 14, 799
cui, 0, Concurrent optimization of consumer's electrical energy bill and producer's power generation cost under a dynamic pricing model, Proc IEEE PES ISGT, 1
zhu, 0, An integer linear programming based optimization for home demand-side management in smart grid, Proc of ISGT2012 IEEE PES 2012, 1
shi, 0, Real-time vehicle-to-grid control algorithm under price uncertainty, Proc IEEE SmartGridComm, 261
lee, 2012, Genetic algorithm-based charging task scheduler for electric vehicles in smart transportation, Lecture Notes Comput Sci, 7196, 208, 10.1007/978-3-642-28487-8_21
han, 2010, Development of an optimal vehicle-to-grid aggregator for frequency regulation, IEEE Trans Smart Grid, 1, 65, 10.1109/TSG.2010.2045163
wang, 0, Optimal dispatching model of smart home energy management system, IEEE PES ISGT ASIA
zhang, 0, Optimal scheduling of smart homes energy consumption with microgrid, Proceedings of EEnergy, 70
goldberg, 1989, Genetic Algorithms in Search Optimization and Machine Learning
chang, 0, Coordinated home energy management for real-time power balancing, Proc IEEE PES Gen Meet, 1
osborne, 1994, A Course in Game Theory
faruqui, 2010, Rethinking prices: The changing architecture of demand response in America, Public Utilities Fortnightly, 148, 30
allcott, 2012, Real'Time Pricing and Electricity Market Design
allcott, 2009, Real time pricing and electricity markets
lee, 0, Demand response-An assessment of load participation in the ERCOT nodal market, Proc IEEE PES Gen Meet
ricalde, 0, Forecasting for smart grid applications with higher order neural networks, Proc IEEE WAC, 1
li, 0, Predicting user comfort level using machine learning for Smart Grid environments, IEEE PES ISGT 2011, 1
hong, 0, Modeling and forecasting hourly electric load by multiple linear regression with interactions, Proc IEEE PES Gen Meet, 1
kramer, 2010, Power prediction in smart grids with evolutionary local kernel regression, Lecture Notes Comput Sci, 6076, 262, 10.1007/978-3-642-13769-3_32
2010
weiwei, 2013, Optimal scheduling of demand response events for electric utilities, IEEE Trans Smart Grid, 4, 2309, 10.1109/TSG.2013.2269540
zhou, 0, Impact of demand response contracts on load forecasting in a smart grid environment, Proc IEEE PES Gen Meet, 1
wolak, 0, Residential customer response to real-time pricing: The anaheim critical peak pricing experiment, Center for Study of Energy Markets Working Paper
ragnarsson, 2012, Price it Right Household Response to a Time-of-Use Electricity Pricing Experiment in Auckland