-
1
-
-
84899800725
-
A new hybrid modified firefly algorithm and support vector regression model for accurate short term load forecasting
-
Kavousi-Fard A., Samet H., Marzbani F. A new hybrid modified firefly algorithm and support vector regression model for accurate short term load forecasting. Expert Syst Appl 2014, 41:6047-6056.
-
(2014)
Expert Syst Appl
, vol.41
, pp. 6047-6056
-
-
Kavousi-Fard, A.1
Samet, H.2
Marzbani, F.3
-
2
-
-
84900826776
-
Modeling an aggressive energy-efficiency scenario in long-range load forecasting for electric power transmission planning
-
Sanstad A.H., McMenamin S., Sukenik A., Barbose G.L., Goldman C.A. Modeling an aggressive energy-efficiency scenario in long-range load forecasting for electric power transmission planning. Appl Energy 2014, 128:265-276.
-
(2014)
Appl Energy
, vol.128
, pp. 265-276
-
-
Sanstad, A.H.1
McMenamin, S.2
Sukenik, A.3
Barbose, G.L.4
Goldman, C.A.5
-
3
-
-
84903585080
-
Stochastic operational scheduling of smart distribution system considering wind generation and demand response programs
-
Zakariazadeh A., Jadid S., Siano P. Stochastic operational scheduling of smart distribution system considering wind generation and demand response programs. Int J Electr Power Energy Syst 2014, 63:218-225.
-
(2014)
Int J Electr Power Energy Syst
, vol.63
, pp. 218-225
-
-
Zakariazadeh, A.1
Jadid, S.2
Siano, P.3
-
4
-
-
84864290302
-
Interval type-2 fuzzy logic systems for load forecasting: a comparative study
-
Khosravi A., Nahavandi S., Creighton D., Srinivasan D. Interval type-2 fuzzy logic systems for load forecasting: a comparative study. Power Syst IEEE Trans 2012, 27:1274-1282.
-
(2012)
Power Syst IEEE Trans
, vol.27
, pp. 1274-1282
-
-
Khosravi, A.1
Nahavandi, S.2
Creighton, D.3
Srinivasan, D.4
-
5
-
-
84866563098
-
Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm
-
Hong W.-C., Dong Y., Zhang W.Y., Chen L.-Y., Panigrahi B. Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm. Int J Electr Power Energy Syst 2013, 44:604-614.
-
(2013)
Int J Electr Power Energy Syst
, vol.44
, pp. 604-614
-
-
Hong, W.-C.1
Dong, Y.2
Zhang, W.Y.3
Chen, L.-Y.4
Panigrahi, B.5
-
6
-
-
84938274429
-
Urban saturated power load analysis based on a novel combined forecasting model
-
Zhao H., Guo S., Xue W. Urban saturated power load analysis based on a novel combined forecasting model. Information 2015, 6:69-88.
-
(2015)
Information
, vol.6
, pp. 69-88
-
-
Zhao, H.1
Guo, S.2
Xue, W.3
-
7
-
-
18144377117
-
Long-term/mid-term electric load forecasting based on short-term correlation and annual growth
-
Al-Hamadi H., Soliman S. Long-term/mid-term electric load forecasting based on short-term correlation and annual growth. Electr Power Syst Res 2005, 74:353-361.
-
(2005)
Electr Power Syst Res
, vol.74
, pp. 353-361
-
-
Al-Hamadi, H.1
Soliman, S.2
-
8
-
-
0036577197
-
Long-term load forecasting for fast developing utility using a knowledge-based expert system.
-
Kandil M., El-Debeiky S.M., Hasanien N. Long-term load forecasting for fast developing utility using a knowledge-based expert system. Power Syst IEEE Trans 2002, 17:491-496.
-
(2002)
Power Syst IEEE Trans
, vol.17
, pp. 491-496
-
-
Kandil, M.1
El-Debeiky, S.M.2
Hasanien, N.3
-
9
-
-
84870024579
-
A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm
-
Li H.-Z., Guo S., Li C.-J., Sun J.-Q. A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm. Knowl Based Syst 2013, 37:378-387.
-
(2013)
Knowl Based Syst
, vol.37
, pp. 378-387
-
-
Li, H.-Z.1
Guo, S.2
Li, C.-J.3
Sun, J.-Q.4
-
10
-
-
77949540821
-
Forecast of electricity consumption and economic growth in Taiwan by state space modeling
-
Pao H.-T. Forecast of electricity consumption and economic growth in Taiwan by state space modeling. Energy 2009, 34:1779-1791.
-
(2009)
Energy
, vol.34
, pp. 1779-1791
-
-
Pao, H.-T.1
-
11
-
-
33845252907
-
Forecasting of Turkey's net electricity energy consumption on sectoral bases
-
Hamzaçebi C. Forecasting of Turkey's net electricity energy consumption on sectoral bases. Energy Policy 2007, 35:2009-2016.
-
(2007)
Energy Policy
, vol.35
, pp. 2009-2016
-
-
Hamzaçebi, C.1
-
12
-
-
70349578020
-
Long term electric load forecasting based on particle swarm optimization
-
AlRashidi M., El-Naggar K. Long term electric load forecasting based on particle swarm optimization. Appl Energy 2010, 87:320-326.
-
(2010)
Appl Energy
, vol.87
, pp. 320-326
-
-
AlRashidi, M.1
El-Naggar, K.2
-
13
-
-
40849100055
-
A granular time series approach to long-term forecasting and trend forecasting
-
Dong R., Pedrycz W. A granular time series approach to long-term forecasting and trend forecasting. Phys A Stat Mech Its Appl 2008, 387:3253-3270.
-
(2008)
Phys A Stat Mech Its Appl
, vol.387
, pp. 3253-3270
-
-
Dong, R.1
Pedrycz, W.2
-
14
-
-
65649091015
-
Long-term electricity demand forecasting for power system planning using economic, demographic and climatic variables
-
Chui F., Elkamel A., Surit R., Croiset E. Long-term electricity demand forecasting for power system planning using economic, demographic and climatic variables. Eur J Ind Eng 2009, 3:277-304.
-
(2009)
Eur J Ind Eng
, vol.3
, pp. 277-304
-
-
Chui, F.1
Elkamel, A.2
Surit, R.3
Croiset, E.4
-
15
-
-
0037411575
-
Regional load forecasting in Taiwan--applications of artificial neural networks
-
Hsu C.-C., Chen C.-Y. Regional load forecasting in Taiwan--applications of artificial neural networks. Energy Convers Manage 2003, 44:1941-1949.
-
(2003)
Energy Convers Manage
, vol.44
, pp. 1941-1949
-
-
Hsu, C.-C.1
Chen, C.-Y.2
-
16
-
-
77955228573
-
Short, medium and long term load forecasting model and virtual load forecaster based on radial basis function neural networks
-
Xia C., Wang J., McMenemy K. Short, medium and long term load forecasting model and virtual load forecaster based on radial basis function neural networks. Int J Electr Power Energy Syst 2010, 32:743-750.
-
(2010)
Int J Electr Power Energy Syst
, vol.32
, pp. 743-750
-
-
Xia, C.1
Wang, J.2
McMenemy, K.3
-
17
-
-
32144464932
-
Long-term industrial load forecasting and planning using neural networks technique and fuzzy inference method
-
IEEE
-
Farahat M. Long-term industrial load forecasting and planning using neural networks technique and fuzzy inference method. Universities Power Engineering Conference, 2004 UPEC 2004 39th International 2004, 368-372. IEEE.
-
(2004)
Universities Power Engineering Conference, 2004 UPEC 2004 39th International
, pp. 368-372
-
-
Farahat, M.1
-
18
-
-
0035480509
-
A flexible long-term load forecasting approach based on new dynamic simulation theory-GSIM
-
Jia N., Yokoyama R., Zhou Y., Gao Z. A flexible long-term load forecasting approach based on new dynamic simulation theory-GSIM. Int J Electr Power Energy Syst 2001, 23:549-556.
-
(2001)
Int J Electr Power Energy Syst
, vol.23
, pp. 549-556
-
-
Jia, N.1
Yokoyama, R.2
Zhou, Y.3
Gao, Z.4
-
19
-
-
58249135669
-
Electric load forecasting by support vector model
-
Hong W.-C. Electric load forecasting by support vector model. Appl Math Model 2009, 33:2444-2454.
-
(2009)
Appl Math Model
, vol.33
, pp. 2444-2454
-
-
Hong, W.-C.1
-
20
-
-
84870745105
-
Annual electric load forecasting by a least squares support vector machine with a fruit fly optimization algorithm
-
Li H-Z, Guo S., Zhao H-R, Su C-B, Wang B. Annual electric load forecasting by a least squares support vector machine with a fruit fly optimization algorithm. Energies 2012, 5(11):4430-4445.
-
(2012)
Energies
, vol.5
, Issue.11
, pp. 4430-4445
-
-
Li, H.-Z.1
Guo, S.2
Zhao, H.-R.3
Su, C.-B.4
Wang, B.5
-
21
-
-
84866311803
-
Collaborative fuzzy-neural approach for long-term load forecasting in Taiwan
-
Chen T.A. Collaborative fuzzy-neural approach for long-term load forecasting in Taiwan. Comput Ind Eng 2012, 63:663-670.
-
(2012)
Comput Ind Eng
, vol.63
, pp. 663-670
-
-
Chen, T.A.1
-
22
-
-
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, 74:417-425.
-
(2005)
Electr Power Syst Res
, vol.74
, pp. 417-425
-
-
Pai, P.-F.1
Hong, W.-C.2
-
23
-
-
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
-
24
-
-
34250208764
-
Grey prediction with rolling mechanism for electricity demand forecasting of Turkey
-
Akay D., Atak M. Grey prediction with rolling mechanism for electricity demand forecasting of Turkey. Energy 2007, 32:1670-1675.
-
(2007)
Energy
, vol.32
, pp. 1670-1675
-
-
Akay, D.1
Atak, M.2
-
25
-
-
18544377981
-
Support vector machines with simulated annealing algorithms in electricity load forecasting
-
Pai P.-F., Hong W.-C. Support vector machines with simulated annealing algorithms in electricity load forecasting. Energy Convers Manage 2005, 46:2669-2688.
-
(2005)
Energy Convers Manage
, vol.46
, pp. 2669-2688
-
-
Pai, P.-F.1
Hong, W.-C.2
-
26
-
-
50849151631
-
Control problems of grey systems
-
Deng J.-L. Control problems of grey systems. Syst Control Lett 1982, 1:288-294.
-
(1982)
Syst Control Lett
, vol.1
, pp. 288-294
-
-
Deng, J.-L.1
-
27
-
-
0001829246
-
Introduction to grey system theory
-
Deng J.-L. Introduction to grey system theory. J Grey Syst 1989, 1:1-24.
-
(1989)
J Grey Syst
, vol.1
, pp. 1-24
-
-
Deng, J.-L.1
-
28
-
-
79955066915
-
Using seven types of GM (1, 1) model to forecast hourly particulate matter concentration in Banciao City of Taiwan
-
Pai T.-Y., Ho C.-L., Chen S.-W., Lo H.-M., Sung P.-J., Lin S.-W., et al. Using seven types of GM (1, 1) model to forecast hourly particulate matter concentration in Banciao City of Taiwan. Water Air Soil Pollut 2011, 217:25-33.
-
(2011)
Water Air Soil Pollut
, vol.217
, pp. 25-33
-
-
Pai, T.-Y.1
Ho, C.-L.2
Chen, S.-W.3
Lo, H.-M.4
Sung, P.-J.5
Lin, S.-W.6
-
29
-
-
33747604390
-
Grey predictor for wind energy conversion systems output power prediction
-
El-Fouly T., El-Saadany E., Salama M. Grey predictor for wind energy conversion systems output power prediction. Power Syst IEEE Trans 2006, 21:1450-1452.
-
(2006)
Power Syst IEEE Trans
, vol.21
, pp. 1450-1452
-
-
El-Fouly, T.1
El-Saadany, E.2
Salama, M.3
-
30
-
-
36749064932
-
Using genetic algorithms grey theory to forecast high technology industrial output
-
Wang C.-H., Hsu L.-C. Using genetic algorithms grey theory to forecast high technology industrial output. Appl Math Comput 2008, 195:256-263.
-
(2008)
Appl Math Comput
, vol.195
, pp. 256-263
-
-
Wang, C.-H.1
Hsu, L.-C.2
-
31
-
-
80755125913
-
Using a grey model optimized by differential evolution algorithm to forecast the per capita annual net income of rural households in China
-
Zhao Z., Wang J., Zhao J., Su Z. Using a grey model optimized by differential evolution algorithm to forecast the per capita annual net income of rural households in China. Omega 2012, 40:525-532.
-
(2012)
Omega
, vol.40
, pp. 525-532
-
-
Zhao, Z.1
Wang, J.2
Zhao, J.3
Su, Z.4
-
32
-
-
84875379783
-
Generalized GM (1, 1) model and its application in forecasting of fuel production
-
Zhou W., He J.-M. Generalized GM (1, 1) model and its application in forecasting of fuel production. Appl Math Model 2013, 37:6234-6243.
-
(2013)
Appl Math Model
, vol.37
, pp. 6234-6243
-
-
Zhou, W.1
He, J.-M.2
-
33
-
-
80054755388
-
Forecasting energy consumption using a grey model improved by incorporating genetic programming
-
Lee Y.-S., Tong L.-I. Forecasting energy consumption using a grey model improved by incorporating genetic programming. Energy Convers Manage 2011, 52:147-152.
-
(2011)
Energy Convers Manage
, vol.52
, pp. 147-152
-
-
Lee, Y.-S.1
Tong, L.-I.2
-
34
-
-
84928558534
-
A fast and stable forecasting model to forecast power load
-
Tan L.-Z., Ouyang A., Peng X.-Y., Li E.-X., Truong T.K., Hao L. A fast and stable forecasting model to forecast power load. Int J Pattern Recognit Artif Intell 2015, 29:1559005.
-
(2015)
Int J Pattern Recognit Artif Intell
, vol.29
, pp. 1559005
-
-
Tan, L.-Z.1
Ouyang, A.2
Peng, X.-Y.3
Li, E.-X.4
Truong, T.K.5
Hao, L.6
-
35
-
-
84858745881
-
Forecasting short-term electricity consumption using the adaptive grey-based approach-An Asian case
-
Li D.-C., Chang C.-J., Chen C.-C., Chen W.-C. Forecasting short-term electricity consumption using the adaptive grey-based approach-An Asian case. Omega 2012, 40:767-773.
-
(2012)
Omega
, vol.40
, pp. 767-773
-
-
Li, D.-C.1
Chang, C.-J.2
Chen, C.-C.3
Chen, W.-C.4
-
36
-
-
79952445628
-
A research on short term load forecasting problem applying improved grey dynamic model
-
Li G.-D., Wang C.-H., Masuda S., Nagai M. A research on short term load forecasting problem applying improved grey dynamic model. Int J Electr Power & Energy Syst 2011, 33:809-816.
-
(2011)
Int J Electr Power & Energy Syst
, vol.33
, pp. 809-816
-
-
Li, G.-D.1
Wang, C.-H.2
Masuda, S.3
Nagai, M.4
-
37
-
-
84904181323
-
Short term electric load forecasting by wavelet transform and grey model improved by PSO (particle swarm optimization) algorithm
-
Bahrami S., Hooshmand R.-A., Parastegari M. Short term electric load forecasting by wavelet transform and grey model improved by PSO (particle swarm optimization) algorithm. Energy 2014, 72:434-442.
-
(2014)
Energy
, vol.72
, pp. 434-442
-
-
Bahrami, S.1
Hooshmand, R.-A.2
Parastegari, M.3
-
41
-
-
0142000477
-
Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces
-
Storn R., Price K. Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 1997, 11:341-359.
-
(1997)
J Glob Optim
, vol.11
, pp. 341-359
-
-
Storn, R.1
Price, K.2
-
42
-
-
84155181068
-
A new fruit fly optimization algorithm: taking the financial distress model as an example
-
Pan W.-T. A new fruit fly optimization algorithm: taking the financial distress model as an example. Knowl Based Syst 2012, 26:69-74.
-
(2012)
Knowl Based Syst
, vol.26
, pp. 69-74
-
-
Pan, W.-T.1
-
43
-
-
84923355494
-
The ant lion optimizer
-
Mirjalili S. The ant lion optimizer. Adv Eng Softw 2015, 83:80-98.
-
(2015)
Adv Eng Softw
, vol.83
, pp. 80-98
-
-
Mirjalili, S.1
-
45
-
-
84927694228
-
Modelling and forecasting CO2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model
-
Wu L., Liu S., Liu D., Fang Z., Xu H. Modelling and forecasting CO2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model. Energy 2015, 79:489-495.
-
(2015)
Energy
, vol.79
, pp. 489-495
-
-
Wu, L.1
Liu, S.2
Liu, D.3
Fang, Z.4
Xu, H.5
-
46
-
-
77955175977
-
Analysis and forecasting of nonresidential electricity consumption in Romania
-
Bianco V., Manca O., Nardini S., Minea A.A. Analysis and forecasting of nonresidential electricity consumption in Romania. Appl Energy 2010, 87:3584-3590.
-
(2010)
Appl Energy
, vol.87
, pp. 3584-3590
-
-
Bianco, V.1
Manca, O.2
Nardini, S.3
Minea, A.A.4
-
47
-
-
79952439726
-
Optimal parameters estimation and input subset for grey model based on chaotic particle swarm optimization algorithm
-
Wang J., Zhu S., Zhao W., Zhu W. Optimal parameters estimation and input subset for grey model based on chaotic particle swarm optimization algorithm. Expert Syst Appl 2011, 38:8151-8158.
-
(2011)
Expert Syst Appl
, vol.38
, pp. 8151-8158
-
-
Wang, J.1
Zhu, S.2
Zhao, W.3
Zhu, W.4
-
48
-
-
84886432686
-
Forecasting iron ore import and consumption of China using grey model optimized by particle swarm optimization algorithm
-
Ma W., Zhu X., Wang M. Forecasting iron ore import and consumption of China using grey model optimized by particle swarm optimization algorithm. Resour Policy 2013, 38:613-620.
-
(2013)
Resour Policy
, vol.38
, pp. 613-620
-
-
Ma, W.1
Zhu, X.2
Wang, M.3
-
49
-
-
65349183513
-
Improving forecast accuracy by combining recursive and rolling forecasts
-
Clark T.E., McCracken M.W. Improving forecast accuracy by combining recursive and rolling forecasts. Int Econ Rev 2009, 50:363-395.
-
(2009)
Int Econ Rev
, vol.50
, pp. 363-395
-
-
Clark, T.E.1
McCracken, M.W.2
-
50
-
-
77949266106
-
Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India
-
Kumar U., Jain V. Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India. Energy 2010, 35:1709-1716.
-
(2010)
Energy
, vol.35
, pp. 1709-1716
-
-
Kumar, U.1
Jain, V.2
|