-
3
-
-
76649110223
-
Short-term load forecasting using fuzzy inductive reasoning and evolutionary algorithms
-
V. Hinojosa and A. Hoese, "Short-term load forecasting using fuzzy inductive reasoning and evolutionary algorithms," IEEE Transactions on Power Systems, vol. 25, no. 1, pp. 565-574, 2010.
-
(2010)
IEEE Transactions on Power Systems
, vol.25
, Issue.1
, pp. 565-574
-
-
Hinojosa, V.1
Hoese, A.2
-
4
-
-
0000320366
-
Application of least absolute value parameter estimation based on linear programming to short-term load forecasting
-
PII S0142061596000488
-
S. Soliman, S. Persaud, K. El-Nagar, and M. E. El-Hawary, "Application of least absolute value parameter estimation based on linear programming to short-term load forecasting," Electrical Power and Energy Systems, vol. 19, no. 3, pp. 209-216, 1997. (Pubitemid 127418738)
-
(1997)
International Journal of Electrical Power and Energy Systems
, vol.19
, Issue.3
, pp. 209-216
-
-
Soliman, S.A.1
Persaud, S.2
El-Nagar, K.3
El-Hawary, M.E.4
-
5
-
-
0023399522
-
TIME SERIES APPROACH TO SHORT TERM LOAD FORECASTING
-
M. Hagan and S. Behr, "The time series approach to short term load forecasting," IEEE Transactions on Power Systems, vol. 2, no. 3, pp. 785-791, 1987. (Pubitemid 17650981)
-
(1987)
IEEE Transactions on Power Systems
, vol.PWRS-2
, Issue.3
, pp. 785-791
-
-
Hagan, M.T.1
Behr, S.M.2
-
6
-
-
13844306850
-
Prediction of hourly energy consumption in buildings based on a feedback artificial neural network
-
P. González and J. Z. no, "Prediction of hourly energy consumption in buildings based on a feedback artificial neural network," Energy and Buildings, vol. 37, no. 6, pp. 595-601, 2005.
-
(2005)
Energy and Buildings
, vol.37
, Issue.6
, pp. 595-601
-
-
González, P.1
No, J.Z.2
-
7
-
-
72249094153
-
Electric power demand forecasting using interval time series: A comparison between VAR and iMLP
-
February
-
C. García-Ascanio and C. Maté, "Electric power demand forecasting using interval time series: A comparison between VAR and iMLP,"Energy Policy, vol. 38, no. 2, pp. 715-725, February 2010.
-
(2010)
Energy Policy
, vol.38
, Issue.2
, pp. 715-725
-
-
García-Ascanio, C.1
Maté, C.2
-
8
-
-
0036275409
-
Electric load forecasting: Literature survey and classification of methods
-
DOI 10.1080/00207720110067421
-
H. Alfares and M. Nazeeruddin, "Electric load forecasting: literature survey and classification of methods," International Journal of Systems Science, vol. 33, no. 1, pp. 23-34, 2002. (Pubitemid 34593759)
-
(2002)
International Journal of Systems Science
, vol.33
, Issue.1
, pp. 23-34
-
-
Alfares, H.K.1
Nazeeruddin, M.2
-
9
-
-
0028698662
-
Bayesian non-linear modelling for the prediction competition
-
Atlanta Georgia: ASHRAE
-
D. J. C. MacKay, "Bayesian non-linear modelling for the prediction competition," in ASHRAE Transactions, V.100, Pt.2. Atlanta Georgia: ASHRAE, 1994, pp. 1053-1062.
-
(1994)
ASHRAE Transactions
, vol.100
, Issue.PART 2
, pp. 1053-1062
-
-
MacKay, D.J.C.1
-
10
-
-
8744220352
-
Statistical analysis of neural networks as applied to building energy prediction
-
R. H. Dodier and G. P. Henze, "Statistical analysis of neural networks as applied to building energy prediction," Journal of Solar Energy Engineering, vol. 126, no. 1, pp. 592-600, 2004.
-
(2004)
Journal of Solar Energy Engineering
, vol.126
, Issue.1
, pp. 592-600
-
-
Dodier, R.H.1
Henze, G.P.2
-
11
-
-
60249090242
-
Prediction of building energy consumption by using artificial neural networks
-
B. Ekici and U. Aksoy, "Prediction of building energy consumption by using artificial neural networks," Advances in Engineering Software, vol. 40, no. 5, pp. 356-362, 2009.
-
(2009)
Advances in Engineering Software
, vol.40
, Issue.5
, pp. 356-362
-
-
Ekici, B.1
Aksoy, U.2
-
12
-
-
13244270060
-
Applying support vector machines to predict building energy consumption in tropical region
-
DOI 10.1016/j.enbuild.2004.09.009, PII S0378778804002981
-
B. Dong, C. Cao, and S. Lee, "Applying support vector machines to predict building energy consumption in tropical region," Energy and Buildings, vol. 37, no. 5, pp. 545-553, 2005. (Pubitemid 40183476)
-
(2005)
Energy and Buildings
, vol.37
, Issue.5
, pp. 545-553
-
-
Dong, B.1
Cao, C.2
Lee, S.E.3
-
13
-
-
0001185873
-
An essay towards solving a problem in the doctrine of chances
-
1763
-
T. Bayes, "An essay towards solving a problem in the doctrine of chances," Philosophical Transactions of the Royal Society, vol. 53, pp. 370-418, 1763.
-
Philosophical Transactions of the Royal Society
, vol.53
, pp. 370-418
-
-
Bayes, T.1
-
15
-
-
0003614273
-
-
1st ed. The MIT Press
-
P. Spirtes, C. Glymour, and R. Scheines, Causation, Prediction, and Search, 2nd Edition, 1st ed. The MIT Press, 2001, vol. 1.
-
(2001)
Causation, Prediction, and Search, 2nd Edition
, vol.1
-
-
Spirtes, P.1
Glymour, C.2
Scheines, R.3
-
16
-
-
56149100745
-
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
-
ser. Springer
-
U. Kjærulff and A. Madsen, Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, ser. Information Science and Statistics. Springer, 2008.
-
(2008)
Information Science and Statistics
-
-
Kjærulff, U.1
Madsen, A.2
-
17
-
-
0032206570
-
Neural network with fuzzy set-based classification for short-term load forecasting
-
M. Daneshdoost, M. Lotfalian, G. Bumroonggit, and J. Ngoy, "Neural network with fuzzy set-based classification for short-term load forecasting,"IEEE Transactions on Power Systems, vol. 13, no. 4, pp. 1386-1391, 1998. (Pubitemid 128749027)
-
(1998)
IEEE Transactions on Power Systems
, vol.13
, Issue.4
, pp. 1386-1391
-
-
Daneshdoost, M.1
-
18
-
-
0013326060
-
Feature selection for classification
-
M. Dash and H. Liu, "Feature selection for classification," Intelligent Data Analysis, vol. 1, pp. 131-156, 1997.
-
(1997)
Intelligent Data Analysis
, vol.1
, pp. 131-156
-
-
Dash, M.1
Liu, H.2
|