-
1
-
-
84898917562
-
Improving photovoltaics grid integration through short time forecasting and self-consumption
-
Masa-Bote D., Castillo-Cagigal M., Matallanas E., et al. Improving photovoltaics grid integration through short time forecasting and self-consumption. Appl Energy 2014, 125(15):103-113.
-
(2014)
Appl Energy
, vol.125
, Issue.15
, pp. 103-113
-
-
Masa-Bote, D.1
Castillo-Cagigal, M.2
Matallanas, E.3
-
2
-
-
84861688089
-
Forecasting for demand response in smart grids: an analysis on use of anthropologic and structural data and short term multiple loads forecasting
-
Javed F., Arshad N., Wallin F., Vassileva I., Vassileva E. Forecasting for demand response in smart grids: an analysis on use of anthropologic and structural data and short term multiple loads forecasting. Appl Energy 2012, 96:150-160.
-
(2012)
Appl Energy
, vol.96
, pp. 150-160
-
-
Javed, F.1
Arshad, N.2
Wallin, F.3
Vassileva, I.4
Vassileva, E.5
-
3
-
-
0035425552
-
Short-term hourly load forecasting using time-series modeling with peak load estimation capability
-
Amjady N. Short-term hourly load forecasting using time-series modeling with peak load estimation capability. Power Syst IEEE Trans 2001, 16:498-505.
-
(2001)
Power Syst IEEE Trans
, vol.16
, pp. 498-505
-
-
Amjady, N.1
-
4
-
-
84905670743
-
A hybrid model based on data preprocessing for electrical power forecasting
-
Xiao L., Wang J., Yang X., Xiao L. A hybrid model based on data preprocessing for electrical power forecasting. Electr Power Energy Syst 2015, 64:311-327.
-
(2015)
Electr Power Energy Syst
, vol.64
, pp. 311-327
-
-
Xiao, L.1
Wang, J.2
Yang, X.3
Xiao, L.4
-
5
-
-
77954834179
-
On the influence of weather forecast errors in short-term load forecasting models
-
Fay D., Ringwood J.V. On the influence of weather forecast errors in short-term load forecasting models. IEEE Trans Power Syst 2010, 25(3):1751-1758.
-
(2010)
IEEE Trans Power Syst
, vol.25
, Issue.3
, pp. 1751-1758
-
-
Fay, D.1
Ringwood, J.V.2
-
6
-
-
84896951924
-
Hybrid of ARIMA and SVMs for short-term load forecasting
-
Nie H., Liu G., Liu X., Wang Y. Hybrid of ARIMA and SVMs for short-term load forecasting. Energy Proc 2012, 16:1455-1460.
-
(2012)
Energy Proc
, vol.16
, pp. 1455-1460
-
-
Nie, H.1
Liu, G.2
Liu, X.3
Wang, Y.4
-
7
-
-
79959829242
-
A seasonal hybrid procedure for electricity demand forecasting in China
-
Zhu S., Wang J., Zhao W., Wang J. A seasonal hybrid procedure for electricity demand forecasting in China. Appl Energy 2011, 88:3807-3815.
-
(2011)
Appl Energy
, vol.88
, pp. 3807-3815
-
-
Zhu, S.1
Wang, J.2
Zhao, W.3
Wang, J.4
-
8
-
-
84865411090
-
Application of the largest Lyapunov exponent and non-linear fractal extrapolation algorithm to short-term load forecasting
-
Wang J.Z., Jia R.L., Zhao W.G., Wu J., Dong Y. Application of the largest Lyapunov exponent and non-linear fractal extrapolation algorithm to short-term load forecasting. Chaos Solitons Fract 2012, 45(9-10):1277-1287.
-
(2012)
Chaos Solitons Fract
, vol.45
, Issue.9-10
, pp. 1277-1287
-
-
Wang, J.Z.1
Jia, R.L.2
Zhao, W.G.3
Wu, J.4
Dong, Y.5
-
9
-
-
6344242309
-
Research on processing of short-term historical data of daily load based on Kalman filter
-
Zhang M., Bao H., Yan L., Cao J., Du J. Research on processing of short-term historical data of daily load based on Kalman filter. Power Syst Technol 2003, 10:9.
-
(2003)
Power Syst Technol
, vol.10
, pp. 9
-
-
Zhang, M.1
Bao, H.2
Yan, L.3
Cao, J.4
Du, J.5
-
10
-
-
51849144263
-
Short term load forecasting using multiple linear regression
-
In: 42nd International universities power engineering conference UPEC 2007. IEEE; 2007
-
Amral N, Ozveren CS, King D. Short term load forecasting using multiple linear regression. In: 42nd International universities power engineering conference, 2007. UPEC 2007. IEEE; 2007. p. 1192-8.
-
(2007)
, pp. 1192-1198
-
-
Amral, N.1
Ozveren, C.S.2
King, D.3
-
11
-
-
77949920672
-
Based on time sequence of ARIMA model in the application of short-term electricity load forecasting
-
ICRCCS'09. IEEE; 2009.
-
Wei L, Zhen-gang Z. Based on time sequence of ARIMA model in the application of short-term electricity load forecasting. In: International conference on research challenges in computer science, 2009. ICRCCS'09. IEEE; 2009. p. 11-4.
-
(2009)
International conference on research challenges in computer science
, pp. 11-14
-
-
Wei, L.1
Zhen-gang, Z.2
-
12
-
-
0015022169
-
Short-term load forecasting using general exponential smoothing
-
Christiaanse W.R. Short-term load forecasting using general exponential smoothing. IEEE Trans Power Ap Syst 1971, 900-911.
-
(1971)
IEEE Trans Power Ap Syst
, pp. 900-911
-
-
Christiaanse, W.R.1
-
14
-
-
84870066611
-
A new hybrid day-ahead peak load forecasting method for Iran's National Grid
-
Moazzami M., Khodabakhshian A., Hooshmand R. A new hybrid day-ahead peak load forecasting method for Iran's National Grid. Appl Energy 2013, 101:489-501.
-
(2013)
Appl Energy
, vol.101
, pp. 489-501
-
-
Moazzami, M.1
Khodabakhshian, A.2
Hooshmand, R.3
-
15
-
-
77954032128
-
An enhanced radial basis function network for short-term electricity price forecasting
-
Lin W.M., Gow H.J., Tsai M.T. An enhanced radial basis function network for short-term electricity price forecasting. Appl Energy 2010, 87(10):3226-3234.
-
(2010)
Appl Energy
, vol.87
, Issue.10
, pp. 3226-3234
-
-
Lin, W.M.1
Gow, H.J.2
Tsai, M.T.3
-
16
-
-
84862777006
-
An annual load forecasting model based on support vector regression with differential evolution algorithm
-
Wang J., Li L., Niu D., Tan Z. An annual load forecasting model based on support vector regression with differential evolution algorithm. Appl Energy 2012, 94:65-70.
-
(2012)
Appl Energy
, vol.94
, pp. 65-70
-
-
Wang, J.1
Li, L.2
Niu, D.3
Tan, Z.4
-
17
-
-
84896085639
-
Forecasting energy consumption of multi-family residential buildings using support vector regression: investigating the impact of temporal and spatial monitoring granularity on performance accuracy
-
Jain R.K., Smith K.M., Culligan P.J., Taylor J.E. Forecasting energy consumption of multi-family residential buildings using support vector regression: investigating the impact of temporal and spatial monitoring granularity on performance accuracy. Appl Energy 2014, 123(15):168-178.
-
(2014)
Appl Energy
, vol.123
, Issue.15
, pp. 168-178
-
-
Jain, R.K.1
Smith, K.M.2
Culligan, P.J.3
Taylor, J.E.4
-
18
-
-
84875115854
-
Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks
-
Liu H., Tian H., Pan D., Li Y. Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks. Appl Energy 2013, 107:191-208.
-
(2013)
Appl Energy
, vol.107
, pp. 191-208
-
-
Liu, H.1
Tian, H.2
Pan, D.3
Li, Y.4
-
20
-
-
0017996045
-
Forecasting peak system load using a combined time series and econometric model
-
Uri N.D. Forecasting peak system load using a combined time series and econometric model. Appl Energy 1978, 4(3):219-227.
-
(1978)
Appl Energy
, vol.4
, Issue.3
, pp. 219-227
-
-
Uri, N.D.1
-
21
-
-
0037409059
-
Artificial intelligence in short term electric load forecasting: a state-of-the-art survey for the researcher
-
Metaxiotis K., Kagiannas A., Askounis D., Psarras J. Artificial intelligence in short term electric load forecasting: a state-of-the-art survey for the researcher. Energy Convers Manage 2003, 44:1525-1534.
-
(2003)
Energy Convers Manage
, vol.44
, pp. 1525-1534
-
-
Metaxiotis, K.1
Kagiannas, A.2
Askounis, D.3
Psarras, J.4
-
22
-
-
84876358609
-
A new cascade NN based method to short-term load forecast in deregulated electricity market
-
Kouhi S., Keynia F. A new cascade NN based method to short-term load forecast in deregulated electricity market. Energy Convers Manage 2013, 71:76-83.
-
(2013)
Energy Convers Manage
, vol.71
, pp. 76-83
-
-
Kouhi, S.1
Keynia, F.2
-
23
-
-
84871719871
-
Short-term load forecasting of power systems by combination of wavelet transform and AMPSO based neural network
-
Zhang X., Yan W. Short-term load forecasting of power systems by combination of wavelet transform and AMPSO based neural network. Energy Proc 2011, 13:6006-6016.
-
(2011)
Energy Proc
, vol.13
, pp. 6006-6016
-
-
Zhang, X.1
Yan, W.2
-
24
-
-
40749143065
-
Bayesian neural network approach to short time load forecasting
-
Lauret P., Fock E., Randrianarivony R.N., Manicom-Ramsamy J.F. Bayesian neural network approach to short time load forecasting. Energy Convers Manage 2008, 49:1156-1166.
-
(2008)
Energy Convers Manage
, vol.49
, pp. 1156-1166
-
-
Lauret, P.1
Fock, E.2
Randrianarivony, R.N.3
Manicom-Ramsamy, J.F.4
-
25
-
-
33244465803
-
Fuzzy approach for short term load forecasting
-
Chenthur P.S., Duraiswamy K., Christober Asir R.C., Kanagaraj N. Fuzzy approach for short term load forecasting. Electr Power Syst Res 2006, 76:541-548.
-
(2006)
Electr Power Syst Res
, vol.76
, pp. 541-548
-
-
Chenthur, P.S.1
Duraiswamy, K.2
Christober Asir, R.C.3
Kanagaraj, N.4
-
26
-
-
44649176454
-
Multilayer neuro-fuzzy network for short-term electric load forecasting
-
Bodyanskiy Y., Popov S., Rybalchenko T. Multilayer neuro-fuzzy network for short-term electric load forecasting. Lect Notes Comput Sci 2008, 5010:339-348.
-
(2008)
Lect Notes Comput Sci
, vol.5010
, pp. 339-348
-
-
Bodyanskiy, Y.1
Popov, S.2
Rybalchenko, T.3
-
27
-
-
81155159719
-
A computational intelligence for prediction of daily peak load
-
Nagi J., Yap K.S., Nagi F., Tiong S.K., Ahmed S.K. A computational intelligence for prediction of daily peak load. Appl Soft Comput 2011, 11:4773-4788.
-
(2011)
Appl Soft Comput
, vol.11
, pp. 4773-4788
-
-
Nagi, J.1
Yap, K.S.2
Nagi, F.3
Tiong, S.K.4
Ahmed, S.K.5
-
28
-
-
0024001840
-
An expert system based algorithm for short term load forecasting
-
Rahman S., Bhatangar R. An expert system based algorithm for short term load forecasting. IEEE Trans Power Syst 1988, 3:392-399.
-
(1988)
IEEE Trans Power Syst
, vol.3
, pp. 392-399
-
-
Rahman, S.1
Bhatangar, R.2
-
29
-
-
79551521470
-
An efficient approach for electric load forecasting using distributed ART (adaptive resonance theory) & HS-ARTMAP (Hyper-spherica l ARTMAP network) neural network
-
Cai Y., Wang J.Z., Tang Y., Yang Y.C. An efficient approach for electric load forecasting using distributed ART (adaptive resonance theory) & HS-ARTMAP (Hyper-spherica l ARTMAP network) neural network. Energy 2011, 36:1340-1350.
-
(2011)
Energy
, vol.36
, pp. 1340-1350
-
-
Cai, Y.1
Wang, J.Z.2
Tang, Y.3
Yang, Y.C.4
-
30
-
-
33750125872
-
Combining rainfall-runoff model outputs for improving ensemble streamflow prediction
-
Kim Y.O., Jeong D., Ko I.H. Combining rainfall-runoff model outputs for improving ensemble streamflow prediction. J Hydrologic Eng 2006, 11(6):578-588.
-
(2006)
J Hydrologic Eng
, vol.11
, Issue.6
, pp. 578-588
-
-
Kim, Y.O.1
Jeong, D.2
Ko, I.H.3
-
31
-
-
72649087088
-
A trend fixed on firstly and seasonal adjustment model combined with the ε-SVR for short-term forecasting of electricity demand
-
Wang J.Z., Zhu W.J., Zhang W.Y., Sun D.H. A trend fixed on firstly and seasonal adjustment model combined with the ε-SVR for short-term forecasting of electricity demand. Energy Policy 2009, 37(11):4901-4909.
-
(2009)
Energy Policy
, vol.37
, Issue.11
, pp. 4901-4909
-
-
Wang, J.Z.1
Zhu, W.J.2
Zhang, W.Y.3
Sun, D.H.4
-
32
-
-
84906483194
-
A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network
-
Feng Yu., Xiaozhong Xu. A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network. Appl Energy 2014, 134:102-113.
-
(2014)
Appl Energy
, vol.134
, pp. 102-113
-
-
Feng, Y.1
Xiaozhong, X.2
-
33
-
-
0014629731
-
The combination of forecasts
-
Bates J.M., Granger C.W.J. The combination of forecasts. Oper Res Q 1969, 20:451-468.
-
(1969)
Oper Res Q
, vol.20
, pp. 451-468
-
-
Bates, J.M.1
Granger, C.W.J.2
-
34
-
-
0347692510
-
-
Edward Elgar, [Reprinted in], T.C. Mills (Ed.)
-
Economic forecasting 1999, Edward Elgar, [Reprinted in]. T.C. Mills (Ed.).
-
(1999)
Economic forecasting
-
-
-
35
-
-
84984423763
-
Structural change and the combination of forecasts
-
Diebold F.X., Pauly P. Structural change and the combination of forecasts. J Forecast 1987, 6:21-40.
-
(1987)
J Forecast
, vol.6
, pp. 21-40
-
-
Diebold, F.X.1
Pauly, P.2
-
36
-
-
33846487369
-
Selection of estimation window in the presence of breaks
-
Pesaran M., Timmermann A. Selection of estimation window in the presence of breaks. J Econ 2007, 137:134-161.
-
(2007)
J Econ
, vol.137
, pp. 134-161
-
-
Pesaran, M.1
Timmermann, A.2
-
37
-
-
18144394762
-
Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms
-
Pai P.F., Hong W.C. Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms. Electr Power Syst Res 2005, 74(3):417-425.
-
(2005)
Electr Power Syst Res
, vol.74
, Issue.3
, pp. 417-425
-
-
Pai, P.F.1
Hong, W.C.2
-
38
-
-
4344580323
-
Effect of temperature on short term load forecasting using an integrated ANN
-
Satish B., Swarup K.S., Srinivas S., Rao A.Hanumantha Effect of temperature on short term load forecasting using an integrated ANN. Electr Power Syst Res 2004, 72(1):95-101.
-
(2004)
Electr Power Syst Res
, vol.72
, Issue.1
, pp. 95-101
-
-
Satish, B.1
Swarup, K.S.2
Srinivas, S.3
Rao, A.H.4
-
39
-
-
84901800377
-
A hybrid forecasting model with parameter optimization for short-term load forecasting of micro-grids
-
Liu N., Tang Q.F., Zhang J.H., Fan W., Liu J. A hybrid forecasting model with parameter optimization for short-term load forecasting of micro-grids. Appl Energy 2014, 129:336-345.
-
(2014)
Appl Energy
, vol.129
, pp. 336-345
-
-
Liu, N.1
Tang, Q.F.2
Zhang, J.H.3
Fan, W.4
Liu, J.5
-
40
-
-
77949261436
-
Combined modeling for electric load forecasting with adaptive particle swarm optimization
-
Wang J.Z., Zhu S.L., Zhang W.Y., Lu H.Y. Combined modeling for electric load forecasting with adaptive particle swarm optimization. Energy 2010, 35:1671-1678.
-
(2010)
Energy
, vol.35
, pp. 1671-1678
-
-
Wang, J.Z.1
Zhu, S.L.2
Zhang, W.Y.3
Lu, H.Y.4
-
41
-
-
84926193230
-
A combined model based on data pre-analysis and weight coefficients optimization for electrical load forecasting
-
Xiao L.Y., Wang J.Z., Hou R., Wu J. A combined model based on data pre-analysis and weight coefficients optimization for electrical load forecasting. Energy 2015, 82:524-549.
-
(2015)
Energy
, vol.82
, pp. 524-549
-
-
Xiao, L.Y.1
Wang, J.Z.2
Hou, R.3
Wu, J.4
-
42
-
-
84922796172
-
Combined forecasting models for wind energy forecasting: a case study in China
-
Xiao L., Wang J., Dong Y., Wu J. Combined forecasting models for wind energy forecasting: a case study in China. Renew Sust Energy Rev 2015, 44:271-288.
-
(2015)
Renew Sust Energy Rev
, vol.44
, pp. 271-288
-
-
Xiao, L.1
Wang, J.2
Dong, Y.3
Wu, J.4
-
45
-
-
79953855364
-
Firefly algorithm, stochastic test functions and design optimization
-
Yang X.S. Firefly algorithm, stochastic test functions and design optimization. Int J Bio-Inspir Comput 2010, 2:78-84.
-
(2010)
Int J Bio-Inspir Comput
, vol.2
, pp. 78-84
-
-
Yang, X.S.1
-
46
-
-
84855993522
-
Firefly algorithm for solving non-convex economic dispatch problems with valve loading effect
-
Yang X.S., Hosseini S.S.S., Gandomi A.H. Firefly algorithm for solving non-convex economic dispatch problems with valve loading effect. Appl Soft Comput 2012, 12:1180-1186.
-
(2012)
Appl Soft Comput
, vol.12
, pp. 1180-1186
-
-
Yang, X.S.1
Hosseini, S.S.S.2
Gandomi, A.H.3
-
47
-
-
84877785216
-
Automatic generation control of a combined cycle gas turbine plant with classical controllers using firefly algorithm
-
Saikia L.C., Sahu S.K. Automatic generation control of a combined cycle gas turbine plant with classical controllers using firefly algorithm. Int J Electr Power Energy Syst 2013, 53:27-33.
-
(2013)
Int J Electr Power Energy Syst
, vol.53
, pp. 27-33
-
-
Saikia, L.C.1
Sahu, S.K.2
-
48
-
-
84883194783
-
Binary real coded firefly algorithm for solving unit commitment problem
-
Chandrasekaran K., Simon S.P., Padhy N.P. Binary real coded firefly algorithm for solving unit commitment problem. Inf Sci 2013, 249:67-84.
-
(2013)
Inf Sci
, vol.249
, pp. 67-84
-
-
Chandrasekaran, K.1
Simon, S.P.2
Padhy, N.P.3
-
49
-
-
80053988026
-
Clustering using firefly algorithm: performance study
-
Senthilnath J., Omkar S.N., Mani V. Clustering using firefly algorithm: performance study. Swarm Evol Comput 2011, 1:164-171.
-
(2011)
Swarm Evol Comput
, vol.1
, pp. 164-171
-
-
Senthilnath, J.1
Omkar, S.N.2
Mani, V.3
-
50
-
-
84889888048
-
A comprehensive review of firefly algorithms
-
Fister I., Fister I., Yang X.S., Brest J. A comprehensive review of firefly algorithms. Swarm Evol Comput 2013, 13:34-46.
-
(2013)
Swarm Evol Comput
, vol.13
, pp. 34-46
-
-
Fister, I.1
Fister, I.2
Yang, X.S.3
Brest, J.4
-
51
-
-
84875502179
-
Optimum design of structures using an improved firefly algorithm
-
Kazemzadeh A. Optimum design of structures using an improved firefly algorithm. Int J Optim Civil Eng 2011, 2(1):327-340.
-
(2011)
Int J Optim Civil Eng
, vol.2
, Issue.1
, pp. 327-340
-
-
Kazemzadeh, A.1
-
52
-
-
84890245567
-
Nonlinear programming: theory and algorithms
-
John Wiley and Sons, New York
-
Bazaraa M.S., Sherali H.D., Shetty L.M. Nonlinear programming: theory and algorithms 2006, John Wiley and Sons, New York.
-
(2006)
-
-
Bazaraa, M.S.1
Sherali, H.D.2
Shetty, L.M.3
-
53
-
-
77957863557
-
Firefly algorithms for multimodal optimization, Stochastic algorithms: foundations and applications. SAGA 2009
-
Yang X.S. Firefly algorithms for multimodal optimization, Stochastic algorithms: foundations and applications. SAGA 2009. Lect Notes Comput Sci 2009, 5792:169-178.
-
(2009)
Lect Notes Comput Sci
, vol.5792
, pp. 169-178
-
-
Yang, X.S.1
-
54
-
-
84891819648
-
An improved firefly algorithm for solving dynamic multidimensional knapsack problems
-
Adil B., Fehmi B.O. An improved firefly algorithm for solving dynamic multidimensional knapsack problems. Expert Syst Appl 2014, 41:3712-3725.
-
(2014)
Expert Syst Appl
, vol.41
, pp. 3712-3725
-
-
Adil, B.1
Fehmi, B.O.2
-
55
-
-
84928053539
-
Correlation and instance based feature selection for electricity load forecasting
-
Irena K., Mashud R., Vassilios G.A. Correlation and instance based feature selection for electricity load forecasting. Knowl-Based Syst 2015, 82:29-40.
-
(2015)
Knowl-Based Syst
, vol.82
, pp. 29-40
-
-
Irena, K.1
Mashud, R.2
Vassilios, G.A.3
-
56
-
-
0031891445
-
A sequential learning approach for single hidden layer neural networks
-
Zhang J., Morri J.A. A sequential learning approach for single hidden layer neural networks. Neural Networks 1998, 11(1):65-80.
-
(1998)
Neural Networks
, vol.11
, Issue.1
, pp. 65-80
-
-
Zhang, J.1
Morri, J.A.2
-
58
-
-
85021245929
-
-
http://www.sgcc.com.cn/dwxx/qydwyxqk/zgfhyjfhl/290684.shtml.
-
-
-
-
59
-
-
0033222038
-
Analysis of the value for unit commitment of improved load forecasts
-
Hobbs B.F., Jitprapaikulsarn S., Konda S., Chankong V., Loparo K.A., Maratukulam D.J. Analysis of the value for unit commitment of improved load forecasts. IEEE Trans Power Syst 1999, 14(4):1342-1348.
-
(1999)
IEEE Trans Power Syst
, vol.14
, Issue.4
, pp. 1342-1348
-
-
Hobbs, B.F.1
Jitprapaikulsarn, S.2
Konda, S.3
Chankong, V.4
Loparo, K.A.5
Maratukulam, D.J.6
|