References
- Van Gorp, J. C. Maximizing Energy Savings with Enterprise Energy Management Systems. Pulp and Paper Industry Technical Conference 2004: Conference Record of Pulp and Paper Industry Technical Conference, 2004 June 27–July 1. IEEE Power and Energy: Piscataway, Victoria, BC, Canada, 2004; pp. 175–181.
- Klugman, S.; Karlsson, M.; Moshfegh, B. A Scandinavian Chemical Wood Pulp Mill. Part 1. Energy Audit Aiming at Efficiency Measures. Appl. Energy 2007, 84, 326–339. DOI:10.1016/j.apenergy.2006.07.003.
- Klugman, S.; Karlsson, M.; Moshfegh, B. A Scandinavian Chemical Wood-Pulp Mill. Part 2. International and Model Mills Comparison. Appl. Energy 2007, 84, 340–350. DOI:10.1016/j.apenergy.2006.07.004.
- Aue, J. L.; Pierce, S. Energy Audit Uncovers Major Energy Savings for Paper Mill. 2005 ACEEE Summer Study on Energy Efficiency in Industry: Cutting the High Cost of Energy, July 19, 2005–July 22, 2005, American Council for an Energy Efficient Economy, West Point, NY, USA, 2005; pp 1–10.
- Francis, D. W.; Browne, T. C. Method for Benchmarking Energy Use in Pulp and Paper Operations. 2004 TAPPI Fall Technical Conference: Engineering and Pulping, October 31, 2004–November 3, 2004, Technical Assoc. of the Pulp and Paper Industry Press, Atlanta, GA, USA, 2004; pp. 363–372.
- Kong, L.; Price, L.; Hasanbeigi, A.; Liu, H.; Li, J. Potential for Reducing Paper Mill Energy Use and Carbon Dioxide Emissions Through Plant-Wide Energy Audits: A Case Study in China. Appl. Energy 2013, 102, 1334–1342. DOI:10.1016/j.apenergy.2012.07.013.
- Mardon, J.; Chinn, G. P.; O’Blenes, G.; Robertson, G.; Tkacz, A. Evaluating Paper Machine Operation—1. Equipment and Operation—(a) Principles: An efficient Mill Provides the Needed Information Before the Paper Machine Evaluation Team Arrives on Site. Pulp Pap. Can. 1998, 99, 35–42.
- Mardon, J.; Chinn, G. P.; O’Blenes, G.; Robertson, G.; Tkacz, A. Evaluating Paper Machine Operation—1. Equipment and Operation—(b) Lost Efficiency Analysis: Lost Efficiency Analysis Identifies Deficiencies in Operation. Pulp Pap. Can. 1998, 99, 43–46.
- Mardon, J.; Chinn, G. P.; O’Blenes, G.; Robertson, G.; Tkacz, A. Evaluating Paper Machine Operation—1. Equipment and Operation—(c) Key Information: The Third Part of the Trilogy Provides Detailed Lists of the Key Information Needed to Efficiently Evaluate Paper Machine Operation. Pulp Pap. Can. 1998, 99, 47–50.
- da Motta Lima, O. C.; Pereira, N. C.; Degaimutti, F. Study of the Multicylinder Drying Section of the Klabin-PR MP-7 Paper Machine. Tappi J. 2005, 4, 16–20.
- Hill, K. C. Analyzing the Dryer Section’s Steam and Condensate System. Tappi J. 1993, 76, 10.
- Ramaswamy, S.; Holm, R. A. Analysis of Heat and Mass Transfer During Drying of Paper/Board. Drying Technol. 1999, 17, 49–72. DOI:10.1080/07373939908917518.
- Li, J. G.; Liu, H. B.; Yin, Y. J.; Tao, J. S.; Kong, L. B.; Li, Y. Z.; et al. Energy system diagnosis and analysis with “Three-Links” models in pulp and paper mill. International Conference on Renewable Energies and Power Quality (ICREPQ10), Granada, Spain, April 2010. DOI:10.24084/repqj08.290
- Kong, L.; Hasanbeili, A.; Price, L. Assessment of Emerging Energy-Efficiency Technologies for the Pulp and Paper Industry: A Technical Review. J. Cleaner Prod. 2016, 122, 5–28. DOI:10.1016/j.jclepro.2015.12.116.
- Chen, X.; Li, J.; Liu, H.; Yin, Y.; Hong, M.; Zeng, Z. Energy System Diagnosis of Paper-Drying Process, Part 1: Energy Performance Assessment. Drying Technol. 2016, 34, 930–943. DOI:10.1080/07373937.2015.1087022.
- Chen, X.; Li, J.; Liu, H.; Yin, Y.; Zhang, Y. Energy System Diagnosis of Paper Drying Process, Part 2: A Model-Based Estimation of Energy Saving Potentials. Drying Technol. 2016, 34, 1219–1230. DOI:10.1080/07373937.2015.1095206.
- Zhang, Y.; Hong, M.; Li, J.; Chen, X.; Zeng, Z., and Liu, H. Benchmarking Analysis of Energy Efficiency Indicators in Paper Mill. BioResources 2016, 11, 9723–9740. DOI:10.15376/biores.11.4.9723-9740.
- Man, Y.; Hong, M.; Li, J.; Yang, S.; Qian, Y.; Liu, H. Paper mills integrated gasification combined cycle process with high energy efficiency for cleaner production. Journal of Cleaner Production, 2017, 156, 244–252.
- Kermani, M.; Périn-Levasseur, Z.; Benali, M.; Savulescu, L.; Maréchal, F. A Novel MILP Approach for Simultaneous Optimization of Water and Energy: Application to a Canadian Software Kraft Pulping Mill. Comput. Chem. Eng. 2017, 12, 238–257. DOI:10.1016/j.compchemeng.2016.11.043.
- Wu, B.; Li, J.; Liu, H.; Zhang, Z.; Zhou, Y.; Zhao, N. Energy Information Integration Based on EMS in Paper Mill. Appl. Energy 2012, 93, 488–495. DOI:10.1016/j.apenergy.2011.12.021.
- Schölkopf, B.; Smola, A. J.; Müller, K. Kernel Principal Component Analysis. 7th International Conference Lausanne, Switzerland, October 8-10, 1997, pp. 583–588.
- Xiao, Y.; Wang, H.; Xu, W. Model Selection of Gaussian Kernel PCA for Novelty Detection. Chemomet. Intell. Lab. Syst. 2014, 136, 164–172.
- Braun, M. L.; Buhmann, J. M.; Muller, K. R. On Relevant Dimensions in Kernel Feature Spaces. J. Mach. Learn. Res. 2008, 9, 1875–1908.
- Alzate, C.; Suykens, J. A. K. Multiway Spectral Clustering with Out-of-Sample Extensions Through Weighted Kernel PCA. IEEE Trans. Pattern Anal. Mach. Intell. 2010, 32, 335–347. DOI:10.1109/tpami.2008.292.
- Jørgensen, K. W.; Hansen, L. K. Model Selection for Gaussian Kernel PCA De-Noising. IEEE Trans. Neural Networks Learn. Syst. 2012, 23, 163–168. DOI:10.1109/tnnls.2011.2178325.
- Ester, M.; Kriegel, H. P.; Sander, J.; Xu, X. A density-based algorithm for discovering clusters in large spatial databases with noise. In: AAAI Press, 1996, pp. 226–231.
- Patwary, M. A.; Palsetia, D.; Agrawal, A.; Liao, W.-K.; Manne, F.; Choudhary, A. A new scalable parallel dbscan algorithm using the disjoint-set data structure. In International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2012, pp. 62:1–62:11. IEEE Computer Society Press, Los Alamitos, November, 2012.
- Kieu, L. M.; Bhaskar, A.; Chung, E. Transit Passenger Segmentation Using Travel Regularity Mined from Smart Card Transactions Data. In: Transportation Research Board 93rd Annual Meeting. Washington, D.C., January 12–16, 2014.
- Wu, Y.; Yang, K.; Zhang, J. Z. Using DBSCAN clustering algorithm in spam identifying. In Proceedings of the 2nd International Conference on Education Technology and Computer (ICETC 2010), June 22-24, 2010, Shanghai, China, 2010, pp. 398–402.
- Schölkopf, B.; Smola, A. J.; Müller, K. Nonlinear Component Analysis as a Kernel Eigenvalue Problem. Neural Comput. 1998, 10, 1299–1319. DOI:10.1162/089976698300017467.
- Haykin, S. Neural Networks. Prentice-Hall: Englewood Cliffs, NJ, 1999; pp. 50–60.
- Al-Ghandoor, A.; Phelan, P. E.; Villalobos, R.; Jaber, J. O. Energy and Exergy Utilizations of the US manufacturing sector. Energy 2010, 35, 3048–3065. DOI:10.1016/j.energy.2010.03.046.