Time-of-use based electricity demand response for sustainable manufacturing systems

[1]  Stanley B. Gershwin,et al.  Manufacturing Systems Engineering , 1993 .

[2]  Russell C. Eberhart,et al.  A discrete binary version of the particle swarm algorithm , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[3]  Russell C. Eberhart,et al.  Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.

[4]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[5]  Ioan Cristian Trelea,et al.  The particle swarm optimization algorithm: convergence analysis and parameter selection , 2003, Inf. Process. Lett..

[6]  Xiuli Chao,et al.  An Optimal Production and Shutdown Strategy when a Supplier Offers an Incentive Program , 2005, Manuf. Serv. Oper. Manag..

[7]  Maurice Clerc Binary Particle Swarm Optimisers: toolbox, derivations, and mathematical insights , 2005 .

[8]  S. Ashok,et al.  Peak-load management in steel plants , 2006 .

[9]  K. Malmedal,et al.  Energy Policy Act of 2005 , 2007, IEEE Industry Applications Magazine.

[10]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[11]  Stanley B. Gershwin,et al.  An approximate analytical method for evaluating the performance of closed-loop flow systems with unreliable machines and finite buffers , 2007 .

[12]  Peng Xu,et al.  Introduction to Commercial Building Control Strategies and Techniques for Demand Response , 2007 .

[13]  Rajkumar Roy,et al.  Recent advances in engineering design optimisation: Challenges and future trends , 2008 .

[14]  Semyon M. Meerkov,et al.  Transient behavior of serial production lines with Bernoulli machines , 2008 .

[15]  G. Waghorn,et al.  Greenhouse gas emissions. , 2008 .

[16]  Stephan Biller,et al.  Real time production improvement through bottleneck control , 2009 .

[17]  Yong Wang,et al.  Form tolerance evaluation of toroidal surfaces using particle swarm optimization , 2009 .

[18]  Jingshan Li,et al.  Throughput analysis of production systems: recent advances and future topics , 2009 .

[19]  Lin Li,et al.  Bottleneck detection of complex manufacturing systems using a data-driven method , 2009 .

[20]  Semyon M. Meerkov,et al.  Production systems engineering: Problems, solutions, and applications ☆ , 2009 .

[21]  Karen Herter,et al.  Residential response to critical-peak pricing of electricity: California evidence , 2010 .

[22]  Aimee McKane Automated Demand Response: The Missing Link in the Electricity Value Chain , 2010 .

[23]  R. Walawalkar,et al.  Evolution and current status of demand response (DR) in electricity markets: Insights from PJM and NYISO , 2010 .

[24]  Bart Baesens,et al.  Editorial survey: swarm intelligence for data mining , 2010, Machine Learning.

[25]  Semyon M. Meerkov,et al.  Transient Behavior of Two-Machine Geometric Production Lines , 2010, IEEE Transactions on Automatic Control.

[26]  Bert de Vries,et al.  A global model for residential energy use: Uncertainty in calibration to regional data , 2010 .

[27]  John W. Sutherland,et al.  A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction , 2011 .

[28]  Bart De Schutter,et al.  Demand Response With Micro-CHP Systems , 2011, Proceedings of the IEEE.

[29]  Martin J. Leahy,et al.  Facilitation of renewable electricity using price based appliance control in Irelands electricity m , 2011 .

[30]  Pascal Bouvry,et al.  Particle swarm optimization: Hybridization perspectives and experimental illustrations , 2011, Appl. Math. Comput..

[31]  Carlos Alberto Fróes Lima,et al.  Smart metering and systems to support a conscious use of water and electricity , 2012 .

[32]  Zita Vale,et al.  Distributed energy resource short-term scheduling using Signaled Particle Swarm Optimization , 2012 .

[33]  C. Fitzpatrick,et al.  Demand side management of electric car charging: Benefits for consumer and grid , 2012 .

[34]  Yong Wang,et al.  Heterogeneous Redundancy Allocation for Series-Parallel Multi-State Systems Using Hybrid Particle Swarm Optimization and Local Search , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[35]  Lingfeng Wang,et al.  Intelligent Multiagent Control System for Energy and Comfort Management in Smart and Sustainable Buildings , 2012, IEEE Transactions on Smart Grid.

[36]  Zuo-Jun Shen,et al.  Thermostats for the Smart Grid: Models, Benchmarks, and Insights , 2012 .

[37]  J. Torriti,et al.  Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy , 2012 .

[38]  Fulvio Corno,et al.  Intelligent Energy Optimization for User Intelligible Goals in Smart Home Environments , 2012, IEEE Transactions on Smart Grid.

[39]  Sakshi Mahajan,et al.  The smart meter and a smarter consumer: quantifying the benefits of smart meter implementation in the United States , 2012, Chemistry Central Journal.

[40]  Barbara T. Fichman Annual Energy Review 2011 , 2012 .

[41]  Jignesh Solanki,et al.  Residential Demand Response model and impact on voltage profile and losses of an electric distribution network , 2012 .

[42]  Babak Mozafari,et al.  Designing time-of-use program based on stochastic security constrained unit commitment considering reliability index , 2012 .

[43]  Thillainathan Logenthiran,et al.  Demand Side Management in Smart Grid Using Heuristic Optimization , 2012, IEEE Transactions on Smart Grid.

[44]  P. Ferrao,et al.  The impact of demand side management strategies in the penetration of renewable electricity , 2012 .

[45]  Richard A. Buswell,et al.  A simulation and optimisation study: Towards a decentralised microgrid, using real world fluctuation data , 2012 .

[46]  Farrokh Aminifar,et al.  Load commitment in a smart home , 2012 .

[47]  Stanley B. Gershwin,et al.  A decomposition method for approximate evaluation of continuous flow multi-stage lines with general Markovian machines , 2013, Ann. Oper. Res..

[48]  A. Rezaee Jordehi,et al.  Parameter selection in particle swarm optimisation: a survey , 2013, J. Exp. Theor. Artif. Intell..

[49]  Pedro Faria,et al.  Demand Response Management in Power Systems Using Particle Swarm Optimization , 2013, IEEE Intelligent Systems.

[50]  Taskin Koçak,et al.  A Survey on Smart Grid Potential Applications and Communication Requirements , 2013, IEEE Transactions on Industrial Informatics.