A new linguistic out-sample approach of fuzzy time series for daily forecasting of Malaysian electricity load demand

Applied Soft Computing Journal

Volumn 28, Issue , 2015, Pages 422-430

  Efendi, Riswan ^a   Ismail, Zuhaimy ^a   Deris, Mustafa Mat ^b  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

^b UNIVERSITI TUN HUSSEIN ONN MALAYSIA   (Malaysia)

Author keywords

Electricity load demand; Fuzzy time series; Index number; Linguistic time series; Out sample forecast; Weight

Indexed keywords

FORECASTING; FUZZY LOGIC; LINGUISTICS; TIME SERIES;

ELECTRICITY LOAD; FUZZY LOGICAL RELATIONSHIPS; FUZZY TIME SERIES; FUZZY TIME SERIES MODEL; INDEX NUMBERS; MEAN ABSOLUTE PERCENTAGE ERROR; TIME SERIES FORECASTING; WEIGHT;

ELECTRIC LOAD FORECASTING;

EID: 84920134754     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2014.11.043     Document Type: Article

References (55)

1. N. Amjady Short term hourly load forecasting using time series modeling with peak load estimation capability IEEE Trans. Power Syst. 16 3 2001 498 505
2. A.G. Bakirtzis, J.B. Theocharis, S.J. Kiartzis, and K.J. Satsios A neural network short term load forecasting model for the Greek power system IEEE Trans. Power Syst. 11 1996 858 863
3. S.M. Chen Forecasting enrollments based on fuzzy time series Fuzzy Sets Syst. 81 3 1996 311 319
4. S.M. Chen, and J.R. Hwang Temperature prediction using fuzzy time series IEEE Trans. Syst. Man Cybern. 30 2 2000 263 275
5. S.M. Chen, and C.C. Hsu A new approach to forecast enrolments using fuzzy time series Appl. Sci. Eng. 2 3 2004 234 244
6. C.H. Cheng, T.L. Chen, and C.H. Chiang Trend-weighted fuzzy time series model for TAIEX forecasting Proceeding ICONIP, Part III, LNNC, vol. 4234 2006 469 477
7. C.H. Cheng, T.L. Chen, H.J. Teoh, and C.H. Chiang Fuzzy time-series based on adaptive expectation model for TAIEX forecasting Expert Syst. Appl. 34 2 2008 1126 1132
8. H.H. Chu, T.L. Chen, C.H. Cheng, and C.C. Huang Fuzzy dual-factor time series for stock index forecasting Expert Syst. Appl. 36 1 2009 165 171
9. M.Y. Cho, J.C. Hwang, and C.S. Chen Customer short term load forecasting by using ARIMA transfer model Proceedings of the International Conference of Energy Management and Power Delivery, EMPD, vol. 1 1995 317 322
10. R.F. Engle, C. Mustafa, and J. Rice Modelling procedure for short-term electricity load forecasting J. Forecast. 11 1992 241 251
11. E. Egrioglu, C.H. Aladag, U. Yolcu, V.R. Uslu, and R. Basaran A new approach based on the optimization of the length of intervals in fuzzy time series J. Intell. Fuzzy Syst. 22 1 2011 15 19
12. J.Y. Fan, and J.D. McDonald A real time implementation of short term load forecasting for distribution power systems IEEE Trans. Power Syst. 9 1994 988 994
13. M. Grabe Generalized Gaussian Error Calculus 2010 Springer Dordrecht, Heidelberg, London, New York 978-3-642-033049
14. J. Grossman, M. Grossman, and R. Katz The First Systems of Weighted Differential and Integral Calculus 1980 0977117014
15. G. Gross, and F.D. Galiana Short term load forecasting Proc. IEEE 75 12 1987 1558 1571
16. J. Han, and M. Kember Concepts and Techniques 2001 Morgan Kaufmann San Francisco, CA
17. T. Hastie, R. Tibshirani, and J. Friedman The Elements of Statistical Learning; Data Mining, Inference, and Prediction 2001 Springer New York
18. Y. He Similar day selecting based neural network model and its application in short term load forecasting Machine Learning and Cybernetics Proceedings of International Conference 18-25 August, 4760-4763 2005
19. E.T.H. Heng, D. Srinivasan, and A.C. Liew Short term load forecasting using genetic algorithm and neural networks Proceeding of International Conference of Energy Management and Power Delivery 2 1998 576 581
20. K.L. Ho Short term load forecasting of Taiwan power system using a knowledge based expert systems IEEE Trans. Power Syst. 1990 1214 1221
21. C.-M. Huang, and H.-T. Yang A time series approach to short term load forecasting through evolutionary programming structures Proc. Energy Manage. Power Deliv. 2 1995 583 588
22. K.H. Huarng Heuristic models of fuzzy time series for forecasting Fuzzy Sets Syst. 123 3 2001 369 386
23. K.H. Huarng, H.K. Tifanny, and W.S. Yu A multivariate heuristic model for fuzzy time series forecasting IEEE Trans. Syst. Man Cybern. 37 4 2007 836 846
24. K.H. Huarng, and H.K. Yu A dynamic approach to adjusting lengths of intervals in fuzzy time series forecasting J. Intell. Data Anal. 8 1 2004 3 27
25. O. Hyde, and P.F. Hodnett An adaptable automated procedure for short-term electricity load forecasting IEEE Trans. Power Syst. 12 1997 84 93
26. S.J. Kiartzis, and A.G. Bakirtzis A fuzzy expert system for peak load forecasting, application to the Greek power system 10th Mediterranean Electrotechnical Conference 3 2000 1097 1100
27. A. Khotanzan, R.A. Rohani, and D. Maratukulam ANNSTLF-artificial neural network short term load forecaster-generation three IEEE Trans. Neural Netw. 13 1998 1413 1422
28. I. Kuo An improved approach for forecasting enrolments based on fuzzy time series and particle swarm optimization Expert Syst. Appl. 36 3 2009 6108 6117
29. C.H.L. Lee, A. Liu, and W.S. Chen Pattern discovery of fuzzy time series for financial prediction IEEE Trans. Knowl. Data Eng. 18 5 2006 613 625
30. H.S. Lee, and M.T. Chou Fuzzy forecasting based on fuzzy time series Int. J. Comput. Math. 81 7 2004 781 789
31. M.H. Lee, R. Efendi, and Z. Ismail Modified weight for enrolment forecasting based on fuzzy time series MATEMATIKA 25 1 2009 67 78
32. Y. Leu, C.-P. Lee, and Y.-Z. Jou A distance based fuzzy time series model for exchange rates forecasting Expert Syst. Appl. 4 2009 8107 8114
33. Y. Li, and T. Fang Wavelet and support vector machines for short term electrical load forecasting Proceeding of the International Conference on Wavelet Analysis and its Application, vol. 1 2003 399 404
34. H.T. Liu An integrated fuzzy time series forecasting system Expert Syst. Appl. 36 2009 10045 10053
35. M. Norizan, H.A. Maiza, Z. Ismail, and Suhartono Short term load forecasting using double seasonal ARIMA model Proceedings of the Regional Conference on Statistical Science 2010 57 73
36. A.D. Papalexopoulos, and T.C. Hesterberg A regression based approach to short term load forecasting IEEE Trans. Power Syst. 5 1 1990 40 45
37. A.D. Papalexopoulos, S. Hao, and T.M. Peng An implementation of a neural network based load forecasting model for the EMS IEEE Trans. Power Syst. 9 1994 1956 1962
38. M. Peng, N.F. Hubele, and G.G. Karady Advancement in the application of neural networks for short term load forecasting IEEE Trans. Power Syst. 7 1992 250 257
39. W. Qiu, X. Liu, and H. Li A generalized approach for forecasting based on fuzzy time series Expert Syst. Appl. 38 2011 10446 10453
40. S. Rahman, and O. Hazim Load forecasting for multiple sites; development of an expert system based technique Electric Power Syst. Res. 39 1996 161 169
41. S. Ruzic, A. Vuckovic, and N. Nikolic Weather sensitive approach for short-term load forecasting in electricity utility of Serbia IEEE Trans. Power Syst. 18 2003 1581 1586
42. M. Sah, and K.Y. Degtiarev Forecasting enrolment model based on first-order fuzzy time series Proceeding of World Academy of Science, Engineering and Technology 1 2005 375 379
43. S.R. Singh A robust approach of forecasting based on fuzzy time series Appl. Math. Comput. 188 1 2007 472 484
44. S.E. Skarman, and M. Georgiopoulos Short term electrical load forecasting using a fuzzy ARTMAP neural network Proc. SPIE 1998 181 191
45. Q. Song, and B.S. Chissom Forecasting enrolments with fuzzy time series - Part I Fuzzy Sets Syst. 54 11 1993 1 9
46. Q. Song, and B.S. Chissom Forecasting enrolments with fuzzy time series - Part I Fuzzy Sets Syst. 54 11 1993 269 277
47. Q. Song, and B.S. Chissom Forecasting enrolments with fuzzy time series - Part II Fuzzy Sets Syst. 62 11 1994 1 8
48. H.J. Teoh, C.H. Cheng, H.H. Chu, and J.S. Chen Fuzzy time series model based on probabilistic approach and rough set rule introduction for empirical in stock markets Data Knowl. Eng. 67 2008 103 117
49. R.C. Tsaur Forecasting by using fuzzy double exponential smoothing model Int. J. Comput. Math. 80 11 2003 1351 1361
50. T. Worawit, and C. Wanchai Substation short term load forecasting using neural network with genetic algorithm Proceeding of IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering 3 2002 1787 1790
51. R.R. Yager On ordered weighted averaging aggregation operators in multicriteria decision-making IEEE Trans. Syst. Man Cybern. 18 1 1988 183 190
52. H.K. Yu Weighted fuzzy time series models for TAIEX forecasting Physica A 349 3-4 2005 609 624
53. H.K. Yu, and K.H. Huarng A bivariate fuzzy time series model to forecast the TAIEX Expert Syst. Appl. 34 4 2008 2945 2952
54. Z. Ismail, A. Yahya, and K.A. Mahpol Forecasting peak load electricity demand using statistical and rule based approach Am. J. Appl. Sci. 6 18 2009 1618 1625
55. Z. Ismail, and R. Efendi Enrollment forecasting based on modified weight fuzzy time series J. Artif. Intell. 4 1 2011 110 118