Demand-side management in less energy-intensive industries: A systematic mapping study
Author
Abstract
Suggested Citation
DOI: 10.1016/j.rser.2024.115315
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Papaefthymiou, Georgios & Haesen, Edwin & Sach, Thobias, 2018. "Power System Flexibility Tracker: Indicators to track flexibility progress towards high-RES systems," Renewable Energy, Elsevier, vol. 127(C), pages 1026-1035.
- Cherrelle Eid & Paul Codani & Yurong Chen & Yannick Perez & Rudi Hakvoort, 2015. "Aggregation of demand side flexibility in a smart grid: A review for European market design," Post-Print hal-01230914, HAL.
- Helin, Kristo & Käki, Anssi & Zakeri, Behnam & Lahdelma, Risto & Syri, Sanna, 2017. "Economic potential of industrial demand side management in pulp and paper industry," Energy, Elsevier, vol. 141(C), pages 1681-1694.
- MohammadMohsen Aghelinejad & Yassine Ouazene & Alice Yalaoui, 2018. "Production scheduling optimisation with machine state and time-dependent energy costs," International Journal of Production Research, Taylor & Francis Journals, vol. 56(16), pages 5558-5575, August.
- Ahmad, Tanveer & Madonski, Rafal & Zhang, Dongdong & Huang, Chao & Mujeeb, Asad, 2022. "Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
- Loganthurai, P. & Rajasekaran, V. & Gnanambal, K., 2016. "Evolutionary algorithm based optimum scheduling of processing units in rice industry to reduce peak demand," Energy, Elsevier, vol. 107(C), pages 419-430.
- Nunes, J. & Silva, Pedro D. & Andrade, L.P. & Gaspar, Pedro D., 2016. "Key points on the energy sustainable development of the food industry – Case study of the Portuguese sausages industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 393-411.
- Meyabadi, A. Fattahi & Deihimi, M.H., 2017. "A review of demand-side management: Reconsidering theoretical framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 367-379.
- Habibian, Mahbubeh & Downward, Anthony & Zakeri, Golbon, 2020. "Multistage stochastic demand-side management for price-making major consumers of electricity in a co-optimized energy and reserve market," European Journal of Operational Research, Elsevier, vol. 280(2), pages 671-688.
- Voulis, Nina & van Etten, Max J.J. & Chappin, Émile J.L. & Warnier, Martijn & Brazier, Frances M.T., 2019. "Rethinking European energy taxation to incentivise consumer demand response participation," Energy Policy, Elsevier, vol. 124(C), pages 156-168.
- Heiko Dunkelberg & Tobias Heidrich & Tim Weiß & Jens Hesselbach, 2020. "Energy demand flexibilization of industrial consumers," Journal of Simulation, Taylor & Francis Journals, vol. 14(1), pages 53-63, January.
- Hu, Luoke & Liu, Ying & Peng, Chen & Tang, Wangchujun & Tang, Renzhong & Tiwari, Ashutosh, 2018. "Minimising the energy consumption of tool change and tool path of machining by sequencing the features," Energy, Elsevier, vol. 147(C), pages 390-402.
- Caro-Ruiz, C. & Lombardi, P. & Richter, M. & Pelzer, A. & Komarnicki, P. & Pavas, A. & Mojica-Nava, E., 2019. "Coordination of optimal sizing of energy storage systems and production buffer stocks in a net zero energy factory," Applied Energy, Elsevier, vol. 238(C), pages 851-862.
- David S. Loughran and Jonathan Kulick, 2004. "Demand-Side Management and Energy Efficiency in the United States," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 19-44.
- Zhongwei Zhang & Lihui Wu & Tao Peng & Shun Jia, 2018. "An Improved Scheduling Approach for Minimizing Total Energy Consumption and Makespan in a Flexible Job Shop Environment," Sustainability, MDPI, vol. 11(1), pages 1-21, December.
- Alizadeh, M.I. & Parsa Moghaddam, M. & Amjady, N. & Siano, P. & Sheikh-El-Eslami, M.K., 2016. "Flexibility in future power systems with high renewable penetration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1186-1193.
- David S. Loughran & Jonathan Kulick, 2004. "Demand-Side Management and Energy Efficiency in the United States," The Energy Journal, , vol. 25(1), pages 19-43, January.
- Artigues, Christian & Lopez, Pierre & Haït, Alain, 2013. "The energy scheduling problem: Industrial case-study and constraint propagation techniques," International Journal of Production Economics, Elsevier, vol. 143(1), pages 13-23.
- Yun, Lingxiang & Xiao, Minkun & Li, Lin, 2022. "Vehicle-to-manufacturing (V2M) system: A novel approach to improve energy demand flexibility for demand response towards sustainable manufacturing," Applied Energy, Elsevier, vol. 323(C).
- Bruno Mota & Luis Gomes & Pedro Faria & Carlos Ramos & Zita Vale & Regina Correia, 2021. "Production Line Optimization to Minimize Energy Cost and Participate in Demand Response Events," Energies, MDPI, vol. 14(2), pages 1-14, January.
- Antonopoulos, Ioannis & Robu, Valentin & Couraud, Benoit & Kirli, Desen & Norbu, Sonam & Kiprakis, Aristides & Flynn, David & Elizondo-Gonzalez, Sergio & Wattam, Steve, 2020. "Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
- Yun, Lingxiang & Li, Lin & Ma, Shuaiyin, 2022. "Demand response for manufacturing systems considering the implications of fast-charging battery powered material handling equipment," Applied Energy, Elsevier, vol. 310(C).
- Dababneh, Fadwa & Li, Lin & Sun, Zeyi, 2016. "Peak power demand reduction for combined manufacturing and HVAC system considering heat transfer characteristics," International Journal of Production Economics, Elsevier, vol. 177(C), pages 44-52.
- Alessandro Niccolai & Gaia Gianna Taje & Davide Mosca & Fabrizio Trombello & Emanuele Ogliari, 2022. "Industrial Demand-Side Management by Means of Differential Evolution Considering Energy Price and Labour Cost," Mathematics, MDPI, vol. 10(19), pages 1-16, October.
- Keyan He & Huajie Hong & Renzhong Tang & Junyu Wei, 2020. "Analysis of Multi-Objective Optimization of Machining Allowance Distribution and Parameters for Energy Saving Strategy," Sustainability, MDPI, vol. 12(2), pages 1-32, January.
- An, Xiangxin & Si, Guojin & Xia, Tangbin & Wang, Dong & Pan, Ershun & Xi, Lifeng, 2023. "An energy-efficient collaborative strategy of maintenance planning and production scheduling for serial-parallel systems under time-of-use tariffs," Applied Energy, Elsevier, vol. 336(C).
- Saffari, Mohammad & de Gracia, Alvaro & Fernández, Cèsar & Belusko, Martin & Boer, Dieter & Cabeza, Luisa F., 2018. "Optimized demand side management (DSM) of peak electricity demand by coupling low temperature thermal energy storage (TES) and solar PV," Applied Energy, Elsevier, vol. 211(C), pages 604-616.
- Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
- Alcázar-Ortega, Manuel & Álvarez-Bel, Carlos & Escrivá-Escrivá, Guillermo & Domijan, Alexander, 2012. "Evaluation and assessment of demand response potential applied to the meat industry," Applied Energy, Elsevier, vol. 92(C), pages 84-91.
- Mirade, Pierre-Sylvain & Perret, Bruno & Guillemin, Hervé & Picque, Daniel & Desserre, Béatrice & Montel, Marie-Christine & Corrieu, Georges, 2012. "Quantifying energy savings during cheese ripening after implementation of sequential air ventilation in an industrial cheesemaking plant," Energy, Elsevier, vol. 46(1), pages 248-258.
- Boqiang Lin & Zhijie Jia, 2020. "Supply control vs. demand control: why is resource tax more effective than carbon tax in reducing emissions?," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
- Lu, Renzhi & Li, Yi-Chang & Li, Yuting & Jiang, Junhui & Ding, Yuemin, 2020. "Multi-agent deep reinforcement learning based demand response for discrete manufacturing systems energy management," Applied Energy, Elsevier, vol. 276(C).
- Lu, Renzhi & Bai, Ruichang & Huang, Yuan & Li, Yuting & Jiang, Junhui & Ding, Yuemin, 2021. "Data-driven real-time price-based demand response for industrial facilities energy management," Applied Energy, Elsevier, vol. 283(C).
- Ruiz Duarte, José Luis & Fan, Neng & Jin, Tongdan, 2020. "Multi-process production scheduling with variable renewable integration and demand response," European Journal of Operational Research, Elsevier, vol. 281(1), pages 186-200.
- Hu, Luoke & Peng, Chen & Evans, Steve & Peng, Tao & Liu, Ying & Tang, Renzhong & Tiwari, Ashutosh, 2017. "Minimising the machining energy consumption of a machine tool by sequencing the features of a part," Energy, Elsevier, vol. 121(C), pages 292-305.
- Du Plessis, Gideon Edgar & Liebenberg, Leon & Mathews, Edward Henry, 2013. "The use of variable speed drives for cost-effective energy savings in South African mine cooling systems," Applied Energy, Elsevier, vol. 111(C), pages 16-27.
- Zhang, Xiongfeng & Lu, Renzhi & Jiang, Junhui & Hong, Seung Ho & Song, Won Seok, 2021. "Testbed implementation of reinforcement learning-based demand response energy management system," Applied Energy, Elsevier, vol. 297(C).
- Muhssin, Mazin T. & Cipcigan, Liana M. & Sami, Saif Sabah & Obaid, Zeyad Assi, 2018. "Potential of demand side response aggregation for the stabilization of the grids frequency," Applied Energy, Elsevier, vol. 220(C), pages 643-656.
- Kumar, Abhishek & Deng, Yan & He, Xiangning & Singh, Arvind R. & Kumar, Praveen & Bansal, R.C. & Bettayeb, M. & Ghenai, C. & Naidoo, R.M., 2023. "Impact of demand side management approaches for the enhancement of voltage stability loadability and customer satisfaction index," Applied Energy, Elsevier, vol. 339(C).
- Andrew J. Satchwell & Peter A. Cappers & Jeff Deason & Sydney P. Forrester & Natalie Mims Frick & Brian F. Gerke & Mary Ann Piette, 2020. "A Conceptual Framework to Describe Energy Efficiency and Demand Response Interactions," Energies, MDPI, vol. 13(17), pages 1-14, August.
- Junfeng Wang & Yaqin Huang & Qing Chang & Shiqi Li, 2019. "Event-Driven Online Machine State Decision for Energy-Efficient Manufacturing System Based on Digital Twin Using Max-Plus Algebra," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
- Daniele Menniti & Anna Pinnarelli & Nicola Sorrentino & Fiorella Stella & Caterina Aura & Claudia Liutic & Gaetano Polizzi, 2022. "A Tool to Assess the Interaction between Energy Efficiency, Demand Response, and Power System Reliability," Energies, MDPI, vol. 15(15), pages 1-12, July.
- Weiwei Cui & Biao Lu, 2020. "A Bi-Objective Approach to Minimize Makespan and Energy Consumption in Flow Shops with Peak Demand Constraint," Sustainability, MDPI, vol. 12(10), pages 1-22, May.
- Ranaboldo, M. & Aragüés-Peñalba, M. & Arica, E. & Bade, A. & Bullich-Massagué, E. & Burgio, A. & Caccamo, C. & Caprara, A. & Cimmino, D. & Domenech, B. & Donoso, I. & Fragapane, G. & González-Font-de-, 2024. "A comprehensive overview of industrial demand response status in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
- Martin Lindner & Benedikt Grosch & Ghada Elserafi & Bastian Dietrich & Matthias Weigold, 2023. "Holistic Approach for an Energy-Flexible Operation of a Machine Tool with Cooling Supply," Energies, MDPI, vol. 16(9), pages 1-25, May.
- Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
- Vázquez-Canteli, José R. & Nagy, Zoltán, 2019. "Reinforcement learning for demand response: A review of algorithms and modeling techniques," Applied Energy, Elsevier, vol. 235(C), pages 1072-1089.
- Zhang, Hao & Cai, Jie & Fang, Kan & Zhao, Fu & Sutherland, John W., 2017. "Operational optimization of a grid-connected factory with onsite photovoltaic and battery storage systems," Applied Energy, Elsevier, vol. 205(C), pages 1538-1547.
- Liu, Ming & Yang, Xuenan & Chu, Feng & Zhang, Jiantong & Chu, Chengbin, 2020. "Energy-oriented bi-objective optimization for the tempered glass scheduling," Omega, Elsevier, vol. 90(C).
- Wang, Yong & Li, Lin, 2013. "Time-of-use based electricity demand response for sustainable manufacturing systems," Energy, Elsevier, vol. 63(C), pages 233-244.
- Chen, Xingzheng & Li, Congbo & Tang, Ying & Li, Li & Du, Yanbin & Li, Lingling, 2019. "Integrated optimization of cutting tool and cutting parameters in face milling for minimizing energy footprint and production time," Energy, Elsevier, vol. 175(C), pages 1021-1037.
- Yu, Mengmeng & Lu, Renzhi & Hong, Seung Ho, 2016. "A real-time decision model for industrial load management in a smart grid," Applied Energy, Elsevier, vol. 183(C), pages 1488-1497.
- Rilwan Usman & Pegah Mirzania & Sahban W. Alnaser & Phil Hart & Chao Long, 2022. "Systematic Review of Demand-Side Management Strategies in Power Systems of Developed and Developing Countries," Energies, MDPI, vol. 15(21), pages 1-24, October.
- Chen Peng & Tao Peng & Yi Zhang & Renzhong Tang & Luoke Hu, 2018. "Minimising Non-Processing Energy Consumption and Tardiness Fines in a Mixed-Flow Shop," Energies, MDPI, vol. 11(12), pages 1-15, December.
- Summerbell, Daniel L. & Khripko, Diana & Barlow, Claire & Hesselbach, Jens, 2017. "Cost and carbon reductions from industrial demand-side management: Study of potential savings at a cement plant," Applied Energy, Elsevier, vol. 197(C), pages 100-113.
- Weitzel, Timm & Glock, C. H., 2019. "Scheduling a Storage-Augmented Discrete Production Facility under Incentive-based Demand Response," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 103373, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
- Pechmann, Agnes & Shrouf, Fadi & Chonin, Max & Steenhusen, Nanke, 2017. "Load-shifting potential at SMEs manufacturing sites: A methodology and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 431-438.
- Iqbal, Asif & Al-Ghamdi, Khalid A., 2018. "Energy-efficient cellular manufacturing system: Eco-friendly revamping of machine shop configuration," Energy, Elsevier, vol. 163(C), pages 863-872.
- Babagheibi, Mahsa & Jadid, Shahram & Kazemi, Ahad, 2023. "An Incentive-based robust flexibility market for congestion management of an active distribution system to use the free capacity of Microgrids," Applied Energy, Elsevier, vol. 336(C).
- Valdes, Javier & Masip Macia, Yunesky & Dorner, Wolfgang & Ramirez Camargo, Luis, 2021. "Unsupervised grouping of industrial electricity demand profiles: Synthetic profiles for demand-side management applications," Energy, Elsevier, vol. 215(PA).
- Kody T. Ponds & Ali Arefi & Ali Sayigh & Gerard Ledwich, 2018. "Aggregator of Demand Response for Renewable Integration and Customer Engagement: Strengths, Weaknesses, Opportunities, and Threats," Energies, MDPI, vol. 11(9), pages 1-20, September.
- Suomalainen, Kiti & Pritchard, Geoffrey & Sharp, Basil & Yuan, Ziqi & Zakeri, Golbon, 2015. "Correlation analysis on wind and hydro resources with electricity demand and prices in New Zealand," Applied Energy, Elsevier, vol. 137(C), pages 445-462.
- Timm Weitzel & Christoph H. Glock, 2019. "Scheduling a storage-augmented discrete production facility under incentive-based demand response," International Journal of Production Research, Taylor & Francis Journals, vol. 57(1), pages 250-270, January.
- Mohamed Habib Jabeur & Sonia Mahjoub & Cyril Toublanc, 2023. "Sustainable Production Scheduling with On-Site Intermittent Renewable Energy and Demand-Side Management: A Feed-Animal Case Study," Energies, MDPI, vol. 16(14), pages 1-24, July.
- Gómez, Javier & Chicaiza, William D. & Escaño, Juan M. & Bordons, Carlos, 2023. "A renewable energy optimisation approach with production planning for a real industrial process: An application of genetic algorithms," Renewable Energy, Elsevier, vol. 215(C).
- Murphy, M.D. & O’Mahony, M.J. & Upton, J., 2015. "Comparison of control systems for the optimisation of ice storage in a dynamic real time electricity pricing environment," Applied Energy, Elsevier, vol. 149(C), pages 392-403.
- Desta, Alemayehu Addisu & Badis, Hakim & George, Laurent, 2018. "Demand response scheduling in industrial asynchronous production lines constrained by available power and production rate," Applied Energy, Elsevier, vol. 230(C), pages 1414-1424.
- Chaoyang Zhang & Pingyu Jiang, 2019. "Sustainability Evaluation of Process Planning for Single CNC Machine Tool under the Consideration of Energy-Efficient Control Strategies Using Random Forests," Sustainability, MDPI, vol. 11(11), pages 1-18, May.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
- Lu, Renzhi & Bai, Ruichang & Ding, Yuemin & Wei, Min & Jiang, Junhui & Sun, Mingyang & Xiao, Feng & Zhang, Hai-Tao, 2021. "A hybrid deep learning-based online energy management scheme for industrial microgrid," Applied Energy, Elsevier, vol. 304(C).
- Zhang, Yunrong & Hong, Zhaofu & Chen, Zhixiang, 2025. "Incentives or time-of-use pricing: Strategic responses to electricity demand response programs for energy-intensive manufacturers," International Journal of Production Economics, Elsevier, vol. 284(C).
- Förster, Robert & Harding, Sebastian & Buhl, Hans Ulrich, 2024. "Unleashing the economic and ecological potential of energy flexibility: Attractiveness of real-time electricity tariffs in energy crises," Energy Policy, Elsevier, vol. 185(C).
- Hajo Terbrack & Thorsten Claus & Frank Herrmann, 2021. "Energy-Oriented Production Planning in Industry: A Systematic Literature Review and Classification Scheme," Sustainability, MDPI, vol. 13(23), pages 1-32, December.
- Yun, Lingxiang & Li, Lin & Ma, Shuaiyin, 2022. "Demand response for manufacturing systems considering the implications of fast-charging battery powered material handling equipment," Applied Energy, Elsevier, vol. 310(C).
- Arabzadeh, Vahid & Miettinen, Panu & Kotilainen, Titta & Herranen, Pasi & Karakoc, Alp & Kummu, Matti & Rautkari, Lauri, 2023. "Urban vertical farming with a large wind power share and optimised electricity costs," Applied Energy, Elsevier, vol. 331(C).
- Caixin Yan & Zhifeng Qiu, 2025. "Review of Power Market Optimization Strategies Based on Industrial Load Flexibility," Energies, MDPI, vol. 18(7), pages 1-41, March.
- Omar Al-Ani & Sanjoy Das, 2022. "Reinforcement Learning: Theory and Applications in HEMS," Energies, MDPI, vol. 15(17), pages 1-37, September.
- Davide Deltetto & Davide Coraci & Giuseppe Pinto & Marco Savino Piscitelli & Alfonso Capozzoli, 2021. "Exploring the Potentialities of Deep Reinforcement Learning for Incentive-Based Demand Response in a Cluster of Small Commercial Buildings," Energies, MDPI, vol. 14(10), pages 1-25, May.
- Michael Schoepf & Martin Weibelzahl & Lisa Nowka, 2018. "The Impact of Substituting Production Technologies on the Economic Demand Response Potential in Industrial Processes," Energies, MDPI, vol. 11(9), pages 1-13, August.
- Lo Piano, S. & Smith, S.T., 2022. "Energy demand and its temporal flexibility: Approaches, criticalities and ways forward," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
- Baxter Williams & Daniel Bishop & Patricio Gallardo & J. Geoffrey Chase, 2023. "Demand Side Management in Industrial, Commercial, and Residential Sectors: A Review of Constraints and Considerations," Energies, MDPI, vol. 16(13), pages 1-28, July.
- Couraud, Benoit & Andoni, Merlinda & Robu, Valentin & Norbu, Sonam & Chen, Si & Flynn, David, 2023. "Responsive FLEXibility: A smart local energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
- Xiangxin An & Guojin Si & Tangbin Xia & Qinming Liu & Yaping Li & Rui Miao, 2022. "Operation and Maintenance Optimization for Manufacturing Systems with Energy Management," Energies, MDPI, vol. 15(19), pages 1-19, October.
- Vanegas Cantarero, María Mercedes, 2018. "Reviewing the Nicaraguan transition to a renewable energy system: Why is “business-as-usual” no longer an option?," Energy Policy, Elsevier, vol. 120(C), pages 580-592.
- Xie, Jiahan & Ajagekar, Akshay & You, Fengqi, 2023. "Multi-Agent attention-based deep reinforcement learning for demand response in grid-responsive buildings," Applied Energy, Elsevier, vol. 342(C).
- Yun, Lingxiang & Li, Lin & Zhang, Jiapei & Guan, Jingze, 2025. "Cost-effective industrial internet of things network planning for sustainable manufacturing systems," International Journal of Production Economics, Elsevier, vol. 281(C).
- Valentina De Simone & Valentina Di Pasquale & Maria Elena Nenni & Salvatore Miranda, 2023. "Sustainable Production Planning and Control in Manufacturing Contexts: A Bibliometric Review," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
- Dong, Zhe & Liu, Miao & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2019. "Automatic generation control for the flexible operation of multimodular high temperature gas-cooled reactor plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 11-31.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:212:y:2025:i:c:s1364032124010414. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.