This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
A Data-Mining-Based Methodology for Transmission Expansion Planning
March/April 2011 (vol. 26 no. 2)
pp. 28-37
Judite Ferreira, Polytechnic of Porto, Portugal
Sérgio Ramos, Polytechnic of Porto, Portugal
Zita Vale, Polytechnic of Porto, Portugal
João Soares, Polytechnic of Porto, Portugal

Analyzing electrical and economical locational marginal pricing (LMP) values can help operators in the electric power sector plan future investments and network expansion.

1. G. Rothwell and T. Gómez, Electricity Economics: Regulation and Deregulation, IEEE Press, 2003.
2. L. Cao, V. Gorodetsky, and P.A. Mitkas, "Agent Mining: The Synergy of Agents and Data Mining," IEEE Intelligent Systems, vol. 24, no. 3, 2009, pp. 64–72.
3. J. Zhang, H. Huang, and J. Wang, "Manifold Learning for Visualizing and Analyzing High-Dimensional Data," IEEE Intelligent Systems, vol. 25, no. 4, 2010, pp. 54–61.
4. G. Marreiros et al., "Context-Aware Emotion-Based Model for Group Decision Making," IEEE Intelligent Systems, vol. 25, no. 2, 2010, pp. 31–39.
5. J.E. Price, "Market-Based Price Differentials in Zonal and LMP Market Designs," IEEE Trans. Power Systems, vol. 22, no. 4, 2007, pp. 1486–1494.
6. J. Ferreira, Z. Vale, and R. Puga, "Nodal Price Simulation in Competitive Electricity Markets," Proc. 6th Int'l Conf. European Electricity Market (EEM 09), IEEE Press, 2009, pp. 1–6.
7. J.E. Price, "Market-Based Price Differentials in Zonal and LMP Market Designs," IEEE Trans. Power Systems, vol. 22, no. 4, 2007, pp. 1486–1494.
8. L. Liu and A. Zobian, "The Importance of Marginal Loss Pricing in an RTO Environment," The Electricity J., vol. 15, no. 8, 2002, pp. 40–45.
9. F. Li, J. Pan, and H. Chao, "Marginal Loss Calculation in Competitive Electrical Energy Markets," Proc. 2004 IEEE Int'l Conf. Electric Utility Deregulation, Restructuring and Power Technologies (DRPT 2004), vol. 1, IEEE Press, 2004, pp. 205–209.
10. M. Shahidehpour, H. Yamin, and Z. Li, Market Operations in Electric Power Systems: Forecasting, Scheduling and Risk Management, John Wiley & Sons, 2002.
11. L. Xie, H. Chiang, and S. Li, "Locational Marginal Pricing Under Composite Dynamic Load Models: Formulation and Computation," Proc. IEEE Power and Energy Soc. General Meeting, IEEE Press, 2010, pp. 1–8.
12. U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth, "The KDD Process for Extracting Useful Knowledge from Volumes of Data," Comm. ACM, vol. 39, no. 11, 1996, pp. 27–34.
13. V. Figueiredo et al., "An Electric Energy Characterization Framework Based on Data Mining Techniques," IEEE Trans. Power Systems, vol. 20, no. 2, 2005, pp. 596–602.
14. K.A.J. Doherty, R.G. Adams, and N. Davey, "Non-Euclidean Norms and Data Normalisation," Proc. European Symp. Artificial Neural Networks (ESANN 2004), 2004, pp. 181–186; www.dice.ucl.ac.be/Proceedings/esann/esannpdf es2004-65.pdf.
15. T. Zhang, R. Ramakrishnon, and M. Livny, "BIRCH: An Efficient Data Clustering Method for Very Large Databases," Proc. ACM SIGMOD Conf. Management of Data, ACM Press, 1996, pp. 103–114.
16. J. Ferreira et al., "Zonal Prices Analysis Supported by a Data Mining Based Methodology" Proc. IEEE Power and Energy Soc. General Meeting, IEEE Press, 2010.
17. G. Chicco et al., "Customer Characterization Options for Improving the Tariff Offer," IEEE Trans. Power Systems, vol. 18, no. 1, 2003, pp. 381–387.
18. I.H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques, 2nd ed., Elsevier, 2005.
19. K.J. Cios et al., Data Mining: A Knowledge Discovery Approach, Springer, 2007.

Index Terms:
Intelligent systems, zonal pricing, locational marginal pricing, data mining, clustering, network expansion planning
Citation:
Judite Ferreira, Sérgio Ramos, Zita Vale, João Soares, "A Data-Mining-Based Methodology for Transmission Expansion Planning," IEEE Intelligent Systems, vol. 26, no. 2, pp. 28-37, March-April 2011, doi:10.1109/MIS.2011.4
Usage of this product signifies your acceptance of the Terms of Use.