-
1
-
-
2642572449
-
Adjustment factors for the ASHRAE clear-sky model based on solar-radiation measurements in Riyadh
-
Al-Saneaa Sami A., Zedana M.F., Al-Ajlan Saleh A. Adjustment factors for the ASHRAE clear-sky model based on solar-radiation measurements in Riyadh. Appl. Energy 2004, 79(2):215-237.
-
(2004)
Appl. Energy
, vol.79
, Issue.2
, pp. 215-237
-
-
Al-Saneaa, S.A.1
Zedana, M.F.2
Al-Ajlan, S.A.3
-
2
-
-
84897515616
-
Solar radiation prediction using artificial neural network techniques: a review
-
Kumar Yadav Amit, Chandel S.S. Solar radiation prediction using artificial neural network techniques: a review. Renew. Sustain. Energy Rev. 2014, 33:772-781.
-
(2014)
Renew. Sustain. Energy Rev.
, vol.33
, pp. 772-781
-
-
Kumar Yadav, A.1
Chandel, S.S.2
-
3
-
-
84906858976
-
Estimation of solar radiation by artificial networks: East Coast Malaysia
-
Kadirgama K., Amirruddin A.K., Bakar R.A. Estimation of solar radiation by artificial networks: East Coast Malaysia. Energy Procedia 2014, 52:383-388.
-
(2014)
Energy Procedia
, vol.52
, pp. 383-388
-
-
Kadirgama, K.1
Amirruddin, A.K.2
Bakar, R.A.3
-
4
-
-
84857692148
-
Numerical weather prediction (NWP) and hybrid ARMA/ANN model to predict global radiation
-
Voyanta Cyril, Musellia Marc, Paolia Christophe, Niveta Marie-Laure Numerical weather prediction (NWP) and hybrid ARMA/ANN model to predict global radiation. Energy 2012, 39(1):341-355.
-
(2012)
Energy
, vol.39
, Issue.1
, pp. 341-355
-
-
Voyanta, C.1
Musellia, M.2
Paolia, C.3
Niveta, M.-L.4
-
5
-
-
68349154632
-
Computation of monthly mean daily global solar radiation in China using artificial neural networks and comparison with other empirical models
-
Jiang Yingni Computation of monthly mean daily global solar radiation in China using artificial neural networks and comparison with other empirical models. Res. Artic. 2009, 34(9):1276-1283.
-
(2009)
Res. Artic.
, vol.34
, Issue.9
, pp. 1276-1283
-
-
Jiang, Y.1
-
6
-
-
33748316563
-
Study of forecasting solar irradiance using neural networks with preprocessing sample data by wavelet analysis
-
Cao J.C., Cao S.H. Study of forecasting solar irradiance using neural networks with preprocessing sample data by wavelet analysis. Energy 2006, 31(15):3435-3445.
-
(2006)
Energy
, vol.31
, Issue.15
, pp. 3435-3445
-
-
Cao, J.C.1
Cao, S.H.2
-
7
-
-
77955281671
-
Radial basis function network-based prediction of global solar radiation data: application for sizing of a stand-alone photovoltaic system at Al-Madinah, Saudi Arabia
-
Benghanem Mohamed, Mellit Ade Radial basis function network-based prediction of global solar radiation data: application for sizing of a stand-alone photovoltaic system at Al-Madinah, Saudi Arabia. Energy 2010, 35(9):3751-3762.
-
(2010)
Energy
, vol.35
, Issue.9
, pp. 3751-3762
-
-
Benghanem, M.1
Mellit, A.2
-
8
-
-
84870606178
-
Short-term prediction of photovoltaic energy generation by intelligent approach
-
Chow Stanley K.H., Lee Eric W.M., Li Danny H.W. Short-term prediction of photovoltaic energy generation by intelligent approach. Energy Build. 2012, 55:660-667.
-
(2012)
Energy Build.
, vol.55
, pp. 660-667
-
-
Chow, S.K.H.1
Lee, E.W.M.2
Li, D.H.W.3
-
9
-
-
64649096205
-
An integrated artificial neural networks approach for predicting global radiation
-
Azadeh A., Maghsoudi A., Sohrabkhani S. An integrated artificial neural networks approach for predicting global radiation. Energy Convers. Manag. 2009, 50(6):1497-1505.
-
(2009)
Energy Convers. Manag.
, vol.50
, Issue.6
, pp. 1497-1505
-
-
Azadeh, A.1
Maghsoudi, A.2
Sohrabkhani, S.3
-
10
-
-
33745903481
-
Extreme learning machine: theory and applications
-
Huang G.B., Zhu Q.Y., Siew C.K. Extreme learning machine: theory and applications. Neurocomputing 2006, 70(1-3):489-501.
-
(2006)
Neurocomputing
, vol.70
, Issue.1-3
, pp. 489-501
-
-
Huang, G.B.1
Zhu, Q.Y.2
Siew, C.K.3
-
12
-
-
55949132682
-
A fast pruned-extreme learning machine for classification problem
-
Rong H.J., Ong Y.S., Tan A.H., Zhu Z. A fast pruned-extreme learning machine for classification problem. Neurocomputing 2008, 72:359-366.
-
(2008)
Neurocomputing
, vol.72
, pp. 359-366
-
-
Rong, H.J.1
Ong, Y.S.2
Tan, A.H.3
Zhu, Z.4
-
13
-
-
33646231022
-
Multiresponse sparse regression with application multidimensional scaling
-
Similä Timo, Tikka Jarkko Multiresponse sparse regression with application multidimensional scaling. Artif. Neural Netw. Form. Models Appl. 2005, 3697:97-102.
-
(2005)
Artif. Neural Netw. Form. Models Appl.
, vol.3697
, pp. 97-102
-
-
Similä, T.1
Tikka, J.2
-
14
-
-
3242708140
-
Least angle regression
-
Efron Bradley, Hastie Trevor, Johnstone Iain, Tibshirani Robert Least angle regression. Ann. Stat. 2011, 32:407-499.
-
(2011)
Ann. Stat.
, vol.32
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
15
-
-
84890844620
-
Long-term time series prediction using OPELM
-
Grigorievskiy Alexander, Miche Yoan, Ventel Anne-Mari, Séverin Eric, Lendasse Amaury Long-term time series prediction using OPELM. Neural Netw. 2014, 51:50-56.
-
(2014)
Neural Netw.
, vol.51
, pp. 50-56
-
-
Grigorievskiy, A.1
Miche, Y.2
Ventel, A.-M.3
Séverin, E.4
Lendasse, A.5
-
16
-
-
78349305293
-
Multi-step-ahead model error prediction using time-delay neural networks combined with chaos theory
-
Sun Yabin, Babovic Vladan, Chan Eng Soon Multi-step-ahead model error prediction using time-delay neural networks combined with chaos theory. J. Hydrol. 2010, 395(1-2):109-116.
-
(2010)
J. Hydrol.
, vol.395
, Issue.1-2
, pp. 109-116
-
-
Sun, Y.1
Babovic, V.2
Chan, E.S.3
-
17
-
-
79956354306
-
Conditionally dependent strategies for multiple step-ahead prediction in local learning
-
Bontempi G., Taieb S.B. Conditionally dependent strategies for multiple step-ahead prediction in local learning. Int. J. Forecast. 2011, 27(3):689-699.
-
(2011)
Int. J. Forecast.
, vol.27
, Issue.3
, pp. 689-699
-
-
Bontempi, G.1
Taieb, S.B.2
-
19
-
-
84857642411
-
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
-
Taieba Souhaib Ben, Bontempia Gianluca, Atiyac Amir F., Sorjamaab Antti A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. Expert Syst. Appl. 2012, 39(8):7067-7083.
-
(2012)
Expert Syst. Appl.
, vol.39
, Issue.8
, pp. 7067-7083
-
-
Taieba, S.B.1
Bontempia, G.2
Atiyac, A.F.3
Sorjamaab, A.4
-
20
-
-
79956344797
-
Time Series Prediction: Forecasting the Future and Understanding the Past
-
A.S. Weigend, N.A. Gershenfeld (Eds.)
-
Time Series Prediction: Forecasting the Future and Understanding the Past. International Journal of Forecasting 1993, 10(3):463-466. A.S. Weigend, N.A. Gershenfeld (Eds.).
-
(1993)
International Journal of Forecasting
, pp. 463-466
-
-
-
21
-
-
84979455306
-
Some advances in non-linear and adaptive modelling in time-series
-
Tiao G.C., Tsay R.S. Some advances in non-linear and adaptive modelling in time-series. J. Forecast. 1994, 13(2):109-131.
-
(1994)
J. Forecast.
, vol.13
, Issue.2
, pp. 109-131
-
-
Tiao, G.C.1
Tsay, R.S.2
-
24
-
-
79956354306
-
Conditionally dependent strategies for multiple-step-ahead prediction in local learning
-
Bontempi Gianluca, Taieb Souhaib Ben Conditionally dependent strategies for multiple-step-ahead prediction in local learning. Int. J. Forecast. 2011, 27(3):689-699.
-
(2011)
Int. J. Forecast.
, vol.27
, Issue.3
, pp. 689-699
-
-
Bontempi, G.1
Taieb, S.B.2
-
26
-
-
80052922550
-
A SOM-based hybrid linear-neural model for short-term load forecasting
-
Yadav Vineet, Srinivasan Dipti A SOM-based hybrid linear-neural model for short-term load forecasting. Neurocomputing 2011, 74(17):2874-2885.
-
(2011)
Neurocomputing
, vol.74
, Issue.17
, pp. 2874-2885
-
-
Yadav, V.1
Srinivasan, D.2
-
28
-
-
77952553004
-
Multiple-output modeling for multi-step-ahead time series forecasting
-
Taieb Souhaib Ben, Sorjamaa Antti, Bontempi Gianluca Multiple-output modeling for multi-step-ahead time series forecasting. Neurocomputing 2010, 73(10-12):1950-1957.
-
(2010)
Neurocomputing
, vol.73
, Issue.10-12
, pp. 1950-1957
-
-
Taieb, S.B.1
Sorjamaa, A.2
Bontempi, G.3
-
29
-
-
78549278718
-
Adaptive network-based fuzzy inference system with leave-one-out cross-validation approach for prediction of surface roughness
-
Dong M.G., Wang N. Adaptive network-based fuzzy inference system with leave-one-out cross-validation approach for prediction of surface roughness. Appl. Math. Model 2011, 35(3):1024e35.
-
(2011)
Appl. Math. Model
, vol.35
, Issue.3
, pp. 1024-1035
-
-
Dong, M.G.1
Wang, N.2
-
30
-
-
0024764917
-
Analysis and Evaluation of Five Short-Term Load Forecasting Techniques
-
Moghram I., Rahman S. Analysis and Evaluation of Five Short-Term Load Forecasting Techniques. IEEE Trans. Power Syst. 1989, 4:1484-1491.
-
(1989)
IEEE Trans. Power Syst.
, vol.4
, pp. 1484-1491
-
-
Moghram, I.1
Rahman, S.2
|