參考文獻 |
[1] Boden, T.A., G. Marland, and R.J. Andres. (2010) Global, Regional, and National Fossil-Fuel CO2 Emissions. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tenn., U.S.A.
[2] Yaisawarng, Suthathip & Klein, J Douglass (1994). "The Effects of Sulfur Dioxide Controls on Productivity Change in the U.S. Electric Power Industry," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 447-460, August.
[3] Ashok, S. (2006). Peak-load management in steel plants. Applied energy, 83(5), 413-424.
[4] Dragoljub Gajic, Hubert Hadera, Luca Onofri, Iiro Harjunkoski, Stefano Di Gennaro (2016). Implementation of an integrated production and electricity optimization system in melt shop. Journal of Cleaner Production.
[5] Sun, Z., Li, L., Bego, A., & Dababneh, F. (2015). Customer-side electricity load management for sustainable manufacturing systems utilizing combined heat and power generation system. International Journal of Production Economics, 165, 112-119.
[6] Gulnur Maden Olmez, Filiz B. Dilek, Tanju Karanfil, Ulku Yetis, The environmental impacts of iron and steel industry: a life cycle assessment study, Journal of Cleaner Production.
[7] 蓋世汽車資訊:汽車鑄件工藝知識及其鑄造技術發展趨勢。2016年6月24日,取自https://kknews.cc/zh-tw/car/mqb89.html。
[8] 鄭詩楷:我國汽車零組件產業發展趨勢,財團法人車輛研究中心。2016年6月,取自http://www.cier.edu.tw/public/Attachment/65161662771.pdf。
[9] Srinivas, N., & Deb, K. (1994). Muiltiobjective optimization using nondominated sorting in genetic algorithms. Evolutionary computation, 2(3), 221-248.Allport, G. W., & Postman, L. (1946). An analysis of rumor. Public Opinion Quarterly, 10(4), 501-517.
[10] Wardlaw, R., & Sharif, M. (1999). Evaluation of genetic algorithms for optimal reservoir system operation. Journal of water resources planning and management, 125(1), 25-33.
[11] Cai, L. J., Erlich, I., & Stamtsis, G. (2004, October). Optimal choice and allocation of FACTS devices in deregulated electricity market using genetic algorithms. In Power Systems Conference and Exposition, 2004. IEEE PES (pp. 201-207). IEEE.
[12] Pai, P. F., & Hong, W. C. (2005). Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms. Electric Power Systems Research, 74(3), 417-425.
[13] Nolde, K., & Morari, M. (2010). Electrical load tracking scheduling of a steel plant. Computers & Chemical Engineering, 34(11), 1899-1903.
[14] Chen, Z., Mi, C. C., Xiong, R., Xu, J., & You, C. (2014). Energy management of a power-split plug-in hybrid electric vehicle based on genetic algorithm and quadratic programming. Journal of Power Sources, 248, 416-426.
[15] Fang, X., Misra, S., Xue, G., & Yang, D. (2012). Smart grid—The new and improved power grid: A survey. IEEE communications surveys & tutorials, 14(4), 944-980.
[16] Wang, B., Li, Y., & Gao, C. (2009). Demand side management outlook under smart grid infrastructure. Automation of Electric Power Systems, 20, 17-22.
[17] Molderink, A., Bakker, V., Bosman, M. G., Hurink, J. L., & Smit, G. J. (2010). Management and control of domestic smart grid technology. IEEE transactions on Smart Grid, 1(2), 109-119
[18] Catalão, J. P. D. S., Mariano, S. J. P. S., Mendes, V. M. F., & Ferreira, L. A. F. M. (2007). Short-term electricity prices forecasting in a competitive market: A neural network approach. Electric Power Systems Research, 77(10), 1297-1304.
[19] Fan, G. F., Wang, W. S., Liu, C., & DAI, H. Z. (2008). Wind power prediction based on artificial neural network [J]. Proceedings of the CSEE, 34, 118-123.
[20] Gong, Q., Li, Y., & Peng, Z. R. (2007, September). Trip based power management of plug-in hybrid electric vehicle with two-scale dynamic programming. In Vehicle Power and Propulsion Conference, 2007. VPPC 2007. IEEE (pp. 12-19). IEEE.
[21] Gong, Q., Li, Y., & Peng, Z. (2009, June). Power management of plug-in hybrid electric vehicles using neural network based trip modeling. In American Control Conference, 2009. ACC′09. (pp. 4601-4606). IEEE.
[22] Mouzon, G., Yildirim, M. B., & Twomey, J. (2007). Operational methods for minimization of energy consumption of manufacturing equipment. International Journal of Production Research, 45(18-19), 4247-4271.
[23] R. Agrawal and R. Srikant (1994). Fast Algorithms for Mining Association Rules. The Very Large Data Base Conference 20th.
[24] M. Ester, H. Kriegel, J. Sander, X. Xu.(1996). A density-based algorithm for discovering clusters in large spatial databases with noise. Proc. 2nd Int. Conf. Knowledge Discovery and Data Mining (KDD′96), pp. 226-231.
[25] L. Bamber, B.G. Dale, Lean production: a study of application in a traditional manufacturing environment, Production Planning & Control, 2000, VOL. 11, NO. 3, 291± 298
[26] Silver, E.A., Pyke, D.F., Peterson, R., 1998. Inventory Management and Production Planning and Scheduling, 3rd Edition. Wiley, New York.
[27] Kingsman, B., Hendry, L., Mercer, A., de Souza, A., 1996.Responding to customer enquiries in make-to-order companies problems and solutions. International Journal of Production Economics 46–47, 219–231.
[28] E. Boukas, A. Haurie, and F. Soumis, Hierarchical approach to steel production scheduling under a global energy constraint, Annals of operations research, 26 (1990), pp. 289–311.
[29] Zanoni, S., Bettoni, L., & Glock, C. H. (2014). Energy implications in a two-stage production system with controllable production rates.
[30] Zhang, Y., & Tang, L. (2010, March). Production scheduling with power price coordination in steel industry. In Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific (pp. 1-4). IEEE.
[31] Olmez, G. M., Dilek, F. B., Karanfil, T., & Yetis, U. (2016). The environmental impacts of iron and steel industry: a life cycle assessment study. Journal of Cleaner Production, 130, 195-201.
[32] Niyato, D., Xiao, L., & Wang, P. (2011). Machine-to-machine communications for home energy management system in smart grid. IEEE Communications Magazine, 49(4).
[33] Lin, C. C., Peng, H., Grizzle, J. W., & Kang, J. M. (2003). Power management strategy for a parallel hybrid electric truck. IEEE transactions on control systems technology, 11(6), 839-849.
[34] Hadera, H., Harjunkoski, I., Sand, G., Grossmann, I. E., & Engell, S. (2015). Optimization of steel production scheduling with complex time-sensitive electricity cost. Computers & Chemical Engineering, 76, 117-136.
[35] Farhangi, H. (2010). The path of the smart grid. IEEE power and energy magazine, 8(1).
[36] Alain Hait, Christian Artigues. (2011) An hybrid CP/MILP method for scheduling with energy costs. European Journal of Industrial Engineering, Inderscience, 5 (4), pp.471-489.
[37] 楊勝翔,「需量預測應用於最佳契約容量研究」,國立成功大學,電機工程學系碩士論文,民國102年。
[38] 黃登意,「電力負載最佳契約容量之研究」,國立台北科技大學,電機工程系碩士在職專班論文,民國98年。
[39] 台灣電力股份有限公司:台灣電力公司營業規則,取自https://www.taipower.com.tw/tc/page.aspx?mid=159。
[40] 台灣電力股份有限公司:降低用電的好方法,2013年,取自https://www.taipower.com.tw/upload/147/2017111320272937836.pdf。
[41] 台灣電力股份有限公司:奉准調整本公司各類用電電價如公告事項,自2017年4月1日0時起調整,2017年3月27日,取自https://www.taipower.com.tw/upload/29/2018032719495918817.pdf。
[42] 經濟部能源局:台塑一貫化作業煉鋼廠環境影響說明書,頁8-9。2008年,取自 https://www.moeaboe.gov.tw。 |