-
1
-
-
0033714961
-
Levenberg–Marquardt algorithm with adaptive momentum for the efficient training of feedforward networks
-
vol. 121.
-
Ampazis, N., Perantonis, S.J., Levenberg–Marquardt algorithm with adaptive momentum for the efficient training of feedforward networks. Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, Vol. 1, 2000, 126–131 vol. 121. http://dx.doi.org/10.1109/IJCNN.2000.857825.
-
(2000)
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium
, vol.1
, pp. 126-131
-
-
Ampazis, N.1
Perantonis, S.J.2
-
2
-
-
85027151564
-
Improving Renewable Energy Forecasting with a Grid of Numerical Weather Predictions
-
1–1.
-
Andrade, J.R., Bessa, R.J., Improving Renewable Energy Forecasting with a Grid of Numerical Weather Predictions. IEEE Transactions on Sustainable Energy, 8(4), 2017 1–1. http://dx.doi.org/10.1109/TSTE.2017.2694340.
-
(2017)
IEEE Transactions on Sustainable Energy
, vol.8
, Issue.4
-
-
Andrade, J.R.1
Bessa, R.J.2
-
3
-
-
84905680218
-
Sentinel: Occupancy based HVAC actuation using existing WiFi infrastructure within commercial buildings
-
ACM
-
Balaji, B., Xu, J., Nwokafor, A., Gupta, R., Agarwal, Y., Sentinel: Occupancy based HVAC actuation using existing WiFi infrastructure within commercial buildings. Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, Roma, Italy, 2013, ACM, 1–14 http://dx.doi.org/10.1145/2517351.2517370.
-
(2013)
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, Roma, Italy
, pp. 1-14
-
-
Balaji, B.1
Xu, J.2
Nwokafor, A.3
Gupta, R.4
Agarwal, Y.5
-
4
-
-
85030676223
-
Algorithmic challenges in Big Data analytics.
-
Balón-Canedo, V., Remeseiro, B., Sechidis, K., Martinez-Rego, D., Alonso-Betanzos, A., Algorithmic challenges in Big Data analytics. http://www.cs.man.ac.uk/∼sechidik/publications/2017/esann2017.pdf, 2017.
-
(2017)
-
-
Balón-Canedo, V.1
Remeseiro, B.2
Sechidis, K.3
Martinez-Rego, D.4
Alonso-Betanzos, A.5
-
5
-
-
84978877461
-
Hybrid Short-term Load Forecasting Using Principal Component Analysis and MEA-Elman Network
-
D.-S. Huang Han K. A. Hussain Springer International Publishing Cham
-
Bao, G., Lin, Q., Gong, D., Shao, H., Hybrid Short-term Load Forecasting Using Principal Component Analysis and MEA-Elman Network. Huang, D.-S., Han, K., Hussain, A., (eds.) Intelligent computing Methodologies: 12th international Conference, ICIC 2016, Lanzhou, China, august 2-5, 2016, Proceedings, part III, 2016, Springer International Publishing, Cham, 671–683 http://dx.doi.org/10.1007/978-3-319-42297-8_62.
-
(2016)
Intelligent computing Methodologies: 12th international Conference, ICIC 2016, Lanzhou, China, august 2-5, 2016, Proceedings, part III
, pp. 671-683
-
-
Bao, G.1
Lin, Q.2
Gong, D.3
Shao, H.4
-
6
-
-
84870828103
-
Application of life-cycle assessment to early stage building design for reduced embodied environmental impacts
-
Basbagill, J., Flager, F., Lepech, M., Fischer, M., Application of life-cycle assessment to early stage building design for reduced embodied environmental impacts. Building and Environment 60 (2013), 81–92 http://dx.doi.org/10.1016/j.buildenv.2012.11.009.
-
(2013)
Building and Environment
, vol.60
, pp. 81-92
-
-
Basbagill, J.1
Flager, F.2
Lepech, M.3
Fischer, M.4
-
7
-
-
79151472440
-
Prediction of building energy needs in early stage of design by using ANFIS
-
Bektas Ekici, B., Aksoy, U.T., Prediction of building energy needs in early stage of design by using ANFIS. Expert Systems with Applications 38 (2011), 5352–5358 http://dx.doi.org/10.1016/j.eswa.2010.10.021.
-
(2011)
Expert Systems with Applications
, vol.38
, pp. 5352-5358
-
-
Bektas Ekici, B.1
Aksoy, U.T.2
-
8
-
-
84952659868
-
Energy consumption control automation using Artificial Neural Networks and adaptive algorithms: Proposal of a new methodology and case study
-
Benedetti, M., Cesarotti, V., Introna, V., Serranti, J., Energy consumption control automation using Artificial Neural Networks and adaptive algorithms: Proposal of a new methodology and case study. Applied Energy 165 (2016), 60–71 http://dx.doi.org/10.1016/j.apenergy.2015.12.066.
-
(2016)
Applied Energy
, vol.165
, pp. 60-71
-
-
Benedetti, M.1
Cesarotti, V.2
Introna, V.3
Serranti, J.4
-
9
-
-
85030699221
-
An Artificial Intelligence ATM forecasting system for Hybrid Neural Networks
-
Bhandari, R., Gill, J., An Artificial Intelligence ATM forecasting system for Hybrid Neural Networks. International Journal of Computer Applications 133 (2016), 13–16 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.734.7389&rep=rep1&type=pdf.
-
(2016)
International Journal of Computer Applications
, vol.133
, pp. 13-16
-
-
Bhandari, R.1
Gill, J.2
-
10
-
-
0035186217
-
A real-coded genetic algorithm for training recurrent neural networks
-
Blanco, A., Delgado, M., Pegalajar, M.C., A real-coded genetic algorithm for training recurrent neural networks. Neural Networks 14 (2001), 93–105 http://dx.doi.org/10.1016/S0893-6080(00)00081-2.
-
(2001)
Neural Networks
, vol.14
, pp. 93-105
-
-
Blanco, A.1
Delgado, M.2
Pegalajar, M.C.3
-
11
-
-
0003691602
-
Time series: theory and methods
-
Springer Science & Business Media.
-
Brockwell, P.J., Davis, R.A., Time series: theory and methods. 2013, Springer Science & Business Media. http://dx.doi.org/10.1007/978-1-4419-0320-4.
-
(2013)
-
-
Brockwell, P.J.1
Davis, R.A.2
-
12
-
-
0022215834
-
Comparative models for electrical load forecasting
-
John Wiley and Sons Inc., New York, NY
-
Bunn, D., Farmer, E.D., Comparative models for electrical load forecasting. 1985, John Wiley and Sons Inc., New York, NY.
-
(1985)
-
-
Bunn, D.1
Farmer, E.D.2
-
13
-
-
84939825549
-
Wind speed forecasting using the NARX model, case: La Mata, Oaxaca, México
-
Cadenas, E., Rivera, W., Campos-Amezcua, R., Cadenas, R., Wind speed forecasting using the NARX model, case: La Mata, Oaxaca, México. Neural Computing and Applications 27 (2016), 2417–2428 http://dx.doi.org/10.1007/s00521-015-2012-y.
-
(2016)
Neural Computing and Applications
, vol.27
, pp. 2417-2428
-
-
Cadenas, E.1
Rivera, W.2
Campos-Amezcua, R.3
Cadenas, R.4
-
14
-
-
33646875753
-
Feature-based image registration by means of the CHC evolutionary algorithm
-
Cordón, O., Damas, S., Santamaría, J., Feature-based image registration by means of the CHC evolutionary algorithm. Image and Vision Computing 24 (2006), 525–533 http://dx.doi.org/10.1016/j.imavis.2006.02.002.
-
(2006)
Image and Vision Computing
, vol.24
, pp. 525-533
-
-
Cordón, O.1
Damas, S.2
Santamaría, J.3
-
15
-
-
85015264938
-
Multiobjective evolutionary optimization for Elman recurrent neural networks, applied to time series prediction
-
Cuéllar, M., Delgado, M., Pegalajar, M., Multiobjective evolutionary optimization for Elman recurrent neural networks, applied to time series prediction. Fuzzy Economic Review 10 (2005), 17–33 http://search.proquest.com/docview/228956321.
-
(2005)
Fuzzy Economic Review
, vol.10
, pp. 17-33
-
-
Cuéllar, M.1
Delgado, M.2
Pegalajar, M.3
-
16
-
-
38049153334
-
Topology optimization and training of recurrent neural networks with pareto-based multi-objective algorithms: A experimental study
-
Sandoval F. Prieto A. Cabestany J. Graña M. Springer Berlin Heidelberg Berlin, Heidelberg
-
Cuéllar, M.P., Delgado, M., Pegalajar, M.C., Topology optimization and training of recurrent neural networks with pareto-based multi-objective algorithms: A experimental study. Sandoval, F., Prieto, A., Cabestany, J., Graña, M., (eds.) Computational and ambient Intelligence: 9th international work-conference on artificial neural Networks, IWANN 2007, san Sebastián, Spain, june 20-22, 2007. Proceedings, 2007, Springer Berlin Heidelberg, Berlin, Heidelberg, 359–366 http://dx.doi.org/10.1007/978-3-540-73007-1_44.
-
(2007)
Computational and ambient Intelligence: 9th international work-conference on artificial neural Networks, IWANN 2007, san Sebastián, Spain, june 20-22, 2007. Proceedings
, pp. 359-366
-
-
Cuéllar, M.P.1
Delgado, M.2
Pegalajar, M.C.3
-
17
-
-
84973111565
-
Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns
-
Chou, J.-S., Ngo, N.-T., Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns. Applied Energy 177 (2016), 751–770 http://dx.doi.org/10.1016/j.apenergy.2016.05.074.
-
(2016)
Applied Energy
, vol.177
, pp. 751-770
-
-
Chou, J.-S.1
Ngo, N.-T.2
-
19
-
-
84855647411
-
Evolutionary training for dynamical recurrent neural networks: An application in finantial time series prediction
-
Delgado, M., Pegalajar, M.C., Cuéllar, M.P., Evolutionary training for dynamical recurrent neural networks: An application in finantial time series prediction. Mathware and Soft Computing 13 (2006), 89–110 http://eudml.org/doc/41874.
-
(2006)
Mathware and Soft Computing
, vol.13
, pp. 89-110
-
-
Delgado, M.1
Pegalajar, M.C.2
Cuéllar, M.P.3
-
20
-
-
33646698452
-
Memetic evolutionary training for recurrent neural networks: An application to time-series prediction
-
Delgado, M., Pegalajar, M.C., Cuéllar, M.P., Memetic evolutionary training for recurrent neural networks: An application to time-series prediction. Expert Systems 23 (2006), 99–114 http://dx.doi.org/10.1111/j.1468-0394.2006.00327.x.
-
(2006)
Expert Systems
, vol.23
, pp. 99-114
-
-
Delgado, M.1
Pegalajar, M.C.2
Cuéllar, M.P.3
-
21
-
-
85006959996
-
Peak electricity load forecasting using online support vector regression
-
Dhillon, J., Rahman, S.A., Ahmad, S.U., Hossain, M.J., Peak electricity load forecasting using online support vector regression. 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2016, 1–4 http://dx.doi.org/10.1109/CCECE.2016.7726784.
-
(2016)
2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
, pp. 1-4
-
-
Dhillon, J.1
Rahman, S.A.2
Ahmad, S.U.3
Hossain, M.J.4
-
22
-
-
85030717359
-
Probabilistic fuzzy Time series method based on artificial neural network
-
Egrioglu, E., Bas, E., Aladag, C.H., Yolcu, U., Probabilistic fuzzy Time series method based on artificial neural network. American Journal of Intelligent Systems 6 (2016), 42–47 http://dx.doi.org/10.5923/j.ajis.20160602.02.
-
(2016)
American Journal of Intelligent Systems
, vol.6
, pp. 42-47
-
-
Egrioglu, E.1
Bas, E.2
Aladag, C.H.3
Yolcu, U.4
-
23
-
-
84885757392
-
Real-time building occupancy sensing using neural-network based sensor network
-
Ekwevugbe, T., Brown, N., Pakka, V., Fan, D., Real-time building occupancy sensing using neural-network based sensor network. 2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST), 2013, 114–119 http://dx.doi.org/10.1109/DEST.2013.6611339.
-
(2013)
2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST)
, pp. 114-119
-
-
Ekwevugbe, T.1
Brown, N.2
Pakka, V.3
Fan, D.4
-
24
-
-
26444565569
-
Finding structure in time
-
Elman, J.L., Finding structure in time. Cognitive Science 14 (1990), 179–211 http://dx.doi.org/10.1207/s15516709cog1402_1.
-
(1990)
Cognitive Science
, vol.14
, pp. 179-211
-
-
Elman, J.L.1
-
25
-
-
0001334115
-
The CHC adaptive search algorithm: how to have safe search when engaging in nontraditional genetic recombination
-
Gregory J.E R. Elsevier Bloomington Campus, Indiana, USA
-
Eshelman, L.J., The CHC adaptive search algorithm: how to have safe search when engaging in nontraditional genetic recombination. Gregory J.E, R., (eds.) Foundations of genetic algorithms, Volume 1, 1991, Elsevier, Bloomington Campus, Indiana, USA, 265–283 http://dx.doi.org/10.1016/B978-0-08-050684-5.50020-3.
-
(1991)
Foundations of genetic algorithms
, vol.1
, pp. 265-283
-
-
Eshelman, L.J.1
-
26
-
-
84919389078
-
Challenges of big data analysis
-
Fan, J., Han, F., Liu, H., Challenges of big data analysis. National Science Review 1 (2014), 293–314 http://dx.doi.org/10.1093/nsr/nwt032.
-
(2014)
National Science Review
, vol.1
, pp. 293-314
-
-
Fan, J.1
Han, F.2
Liu, H.3
-
27
-
-
84937129833
-
Predictive models for building's energy consumption: An Artificial Neural Network (ANN) approach
-
Ferlito, S., Atrigna, M., Graditi, G., Vito, S.D., Salvato, M., Buonanno, A., Predictive models for building's energy consumption: An Artificial Neural Network (ANN) approach. 2015 XVIII AISEM Annual Conference, 2015, 1–4 http://dx.doi.org/10.1109/AISEM.2015.7066836.
-
(2015)
2015 XVIII AISEM Annual Conference
, pp. 1-4
-
-
Ferlito, S.1
Atrigna, M.2
Graditi, G.3
Vito, S.D.4
Salvato, M.5
Buonanno, A.6
-
28
-
-
84925855723
-
Regression analysis for prediction of residential energy consumption
-
Fumo, N., Rafe Biswas, M.A., Regression analysis for prediction of residential energy consumption. Renewable and Sustainable Energy Reviews 47 (2015), 332–343 http://dx.doi.org/10.1016/j.rser.2015.03.035.
-
(2015)
Renewable and Sustainable Energy Reviews
, vol.47
, pp. 332-343
-
-
Fumo, N.1
Rafe Biswas, M.A.2
-
29
-
-
0028543366
-
Training feedforward networks with the Marquardt algorithm
-
Hagan, M.T., Menhaj, M.B., Training feedforward networks with the Marquardt algorithm. IEEE Transactions on Neural Networks 5 (1994), 989–993 http://dx.doi.org/10.1109/72.329697.
-
(1994)
IEEE Transactions on Neural Networks
, vol.5
, pp. 989-993
-
-
Hagan, M.T.1
Menhaj, M.B.2
-
30
-
-
84956614068
-
An Efficient genetic algorithm for optimization Problems with time-consuming fitness Evaluation
-
Han, X., Liang, Y., Li, Z., Li, G., Wu, X., Wang, B., An Efficient genetic algorithm for optimization Problems with time-consuming fitness Evaluation. International Journal of Computational Methods, 12, 2015, 1350106 http://dx.doi.org/10.1142/s0219876213501065.
-
(2015)
International Journal of Computational Methods
, vol.12
-
-
Han, X.1
Liang, Y.2
Li, Z.3
Li, G.4
Wu, X.5
Wang, B.6
-
31
-
-
84960919073
-
Nonlinear autoregressive neural network in an energy management strategy for battery/ultra-capacitor hybrid electrical vehicles
-
Ibrahim, M., Jemei, S., Wimmer, G., Hissel, D., Nonlinear autoregressive neural network in an energy management strategy for battery/ultra-capacitor hybrid electrical vehicles. Electric Power Systems Research 136 (2016), 262–269 http://dx.doi.org/10.1016/j.epsr.2016.03.005.
-
(2016)
Electric Power Systems Research
, vol.136
, pp. 262-269
-
-
Ibrahim, M.1
Jemei, S.2
Wimmer, G.3
Hissel, D.4
-
32
-
-
84971370820
-
Transition to sustainable building. Strategies and opportunities to 2050
-
International Energy Agency. Transition to sustainable building. Strategies and opportunities to 2050. http://www.iea.org/publications/freepublications/publication/transition-to-sustainablebuildings.html, 2013.
-
(2013)
-
-
-
33
-
-
84937403361
-
An automated BIM model to conceptually design, analyze, simulate, and assess sustainable building projects
-
Jalaei, F., Jrade, A., An automated BIM model to conceptually design, analyze, simulate, and assess sustainable building projects. Journal of Construction Engineering, 2014, 2014, 21 http://dx.doi.org/10.1155/2014/672896.
-
(2014)
Journal of Construction Engineering
, vol.2014
, pp. 21
-
-
Jalaei, F.1
Jrade, A.2
-
34
-
-
77956729294
-
Serial Order: A parallel distributed processing approach
-
Jordan, M.I., Serial Order: A parallel distributed processing approach. Advances in Psychology 121 (1997), 471–495 http://dx.doi.org/10.1016/S0166-4115(97)80111-2.
-
(1997)
Advances in Psychology
, vol.121
, pp. 471-495
-
-
Jordan, M.I.1
-
35
-
-
0001829246
-
Introduction to grey system theory
-
Julong, D., Introduction to grey system theory. The Journal of Grey System 1 (1989), 1–24 https://pdfs.semanticscholar.org/3013/67cf1d3f0aa5248a5b8a9ffa4813ef861620.pdf.
-
(1989)
The Journal of Grey System
, vol.1
, pp. 1-24
-
-
Julong, D.1
-
36
-
-
85019945402
-
Detecting anomalies in time series data via a deep learning algorithm combining wavelets, neural networks and Hilbert transform
-
Kanarachos, S., Christopoulos, S.-R.G., Chroneos, A., Fitzpatrick, M.E., Detecting anomalies in time series data via a deep learning algorithm combining wavelets, neural networks and Hilbert transform. Expert Systems with Applications 85 (2017), 292–304 http://dx.doi.org/10.1016/j.eswa.2017.04.028.
-
(2017)
Expert Systems with Applications
, vol.85
, pp. 292-304
-
-
Kanarachos, S.1
Christopoulos, S.-R.G.2
Chroneos, A.3
Fitzpatrick, M.E.4
-
37
-
-
85018441550
-
Time series analysis and prediction of electricity consumption of health care institution using ARIMA model
-
K. Deep Bansal J.C. Das K.N. Lal A.K. Garg H. Nagar A.K. M. Pant Springer Singapore Singapore
-
Kaur, H., Ahuja, S., Time series analysis and prediction of electricity consumption of health care institution using ARIMA model. Deep, K., Bansal, J.C., Das, K.N., Lal, A.K., Garg, H., Nagar, A.K., Pant, M., (eds.) Proceedings of sixth international conference on soft computing for problem Solving: SocProS 2016, Volume 2, 2017, Springer Singapore, Singapore, 347–358 http://dx.doi.org/10.1007/978-981-10-3325-4_35.
-
(2017)
Proceedings of sixth international conference on soft computing for problem Solving: SocProS 2016
, vol.2
, pp. 347-358
-
-
Kaur, H.1
Ahuja, S.2
-
38
-
-
84956665708
-
A comparison of energy consumption prediction models based on neural networks of a bioclimatic building
-
Khosravani, H., Castilla, M., Berenguel, M., Ruano, A., Ferreira, P., A comparison of energy consumption prediction models based on neural networks of a bioclimatic building. Energies, 9, 2016, 57 http://www.mdpi.com/1996-1073/9/1/57.
-
(2016)
Energies
, vol.9
, pp. 57
-
-
Khosravani, H.1
Castilla, M.2
Berenguel, M.3
Ruano, A.4
Ferreira, P.5
-
39
-
-
0035049111
-
On the “dimensionality curse” and the “self-similarity blessing&rdquo
-
Korn, F., Pagel, B.U., Faloutsos, C., On the “dimensionality curse” and the “self-similarity blessing&rdquo. IEEE Transactions on Knowledge and Data Engineering 13 (2001), 96–111 http://dx.doi.org/10.1109/69.908983.
-
(2001)
IEEE Transactions on Knowledge and Data Engineering
, vol.13
, pp. 96-111
-
-
Korn, F.1
Pagel, B.U.2
Faloutsos, C.3
-
40
-
-
0003882343
-
Genetic Programming: on the programming of computers by means of natural selection
-
http___mitpress.mit.edu_books_genetic-programming, http://mitpress.mit.edu/books/genetic-programming., Massachusetts Institute of Technology., ISBN 0-262-11170-5. Printed and bound in the United States of America
-
Koza, J.R., Genetic Programming: on the programming of computers by means of natural selection. 1992, Massachusetts Institute of Technology. http://www.cs.bham.ac.uk/∼wbl/biblio/cache/bin/cache.php?koza:book, http___mitpress.mit.edu_books_genetic-programming, http://mitpress.mit.edu/books/genetic-programming. ISBN 0-262-11170-5. Printed and bound in the United States of America.
-
(1992)
-
-
Koza, J.R.1
-
41
-
-
84975297297
-
Comparative review of building commissioning regulation: A quality perspective
-
Lord, S.-F., Noye, S., Ure, J., Tennant, M.G., Fisk, D.J., Comparative review of building commissioning regulation: A quality perspective. Building Research & Information 44 (2016), 630–643 http://dx.doi.org/10.1080/09613218.2016.1181955.
-
(2016)
Building Research & Information
, vol.44
, pp. 630-643
-
-
Lord, S.-F.1
Noye, S.2
Ure, J.3
Tennant, M.G.4
Fisk, D.J.5
-
42
-
-
85018962403
-
Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in China
-
Ma, X., Liu, Z., Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in China. Journal of Computational and Applied Mathematics 324 (2017), 17–24 http://dx.doi.org/10.1016/j.cam.2017.04.020.
-
(2017)
Journal of Computational and Applied Mathematics
, vol.324
, pp. 17-24
-
-
Ma, X.1
Liu, Z.2
-
43
-
-
84959284516
-
Green building incentives: A review
-
Olubunmi, O.A., Xia, P.B., Skitmore, M., Green building incentives: A review. Renewable and Sustainable Energy Reviews 59 (2016), 1611–1621 http://dx.doi.org/http://doi.org/10.1016/j.rser.2016.01.028.
-
(2016)
Renewable and Sustainable Energy Reviews
, vol.59
, pp. 1611-1621
-
-
Olubunmi, O.A.1
Xia, P.B.2
Skitmore, M.3
-
44
-
-
34548114179
-
Computational intelligence in time series forecasting
-
Springer. Heidelberg
-
Pallit, A., Popovic, D., Computational intelligence in time series forecasting. 2005, Springer., Heidelberg http://dx.doi.org/10.1007/1-84628-184-9.
-
(2005)
-
-
Pallit, A.1
Popovic, D.2
-
45
-
-
84881606002
-
On the recombination operator in the real-coded genetic algorithms
-
Picek, S., Jakobovic, D., Golub, M., On the recombination operator in the real-coded genetic algorithms. 2013 IEEE Congress on Evolutionary Computation, 2013, 3103–3110 http://dx.doi.org/10.1109/CEC.2013.6557948.
-
(2013)
2013 IEEE Congress on Evolutionary Computation
, pp. 3103-3110
-
-
Picek, S.1
Jakobovic, D.2
Golub, M.3
-
47
-
-
84977654475
-
A hybrid model based on smooth transition periodic autoregressive and Elman artificial neural network for wind speed forecasting of the Hebei region in China
-
Qin, S., Wang, J., Wu, J., Zhao, G., A hybrid model based on smooth transition periodic autoregressive and Elman artificial neural network for wind speed forecasting of the Hebei region in China. International Journal of Green Energy 13 (2016), 595–607 http://dx.doi.org/10.1080/15435075.2014.961462.
-
(2016)
International Journal of Green Energy
, vol.13
, pp. 595-607
-
-
Qin, S.1
Wang, J.2
Wu, J.3
Zhao, G.4
-
48
-
-
84888313001
-
A fuzzy nearest neighbor neural network statistical model for predicting demand for natural gas and energy cost savings in public buildings
-
Rodger, J.A., A fuzzy nearest neighbor neural network statistical model for predicting demand for natural gas and energy cost savings in public buildings. Expert Systems with Applications 41 (2014), 1813–1829 http://dx.doi.org/10.1016/j.eswa.2013.08.080.
-
(2014)
Expert Systems with Applications
, vol.41
, pp. 1813-1829
-
-
Rodger, J.A.1
-
49
-
-
84988493757
-
Family houses energy consumption forecast tools for smart grid management
-
Garrido P. Soares F. Moreira A.P. Springer International Publishing Cham
-
Rodrigues, F., Cardeira, C., Calado, J.M.F., Melício, R., Family houses energy consumption forecast tools for smart grid management. Garrido, P., Soares, F., Moreira, A.P., (eds.) CONTROLO 2016: proceedings of the 12th portuguese conference on automatic control, 2017, Springer International Publishing, Cham, 691–699 http://dx.doi.org/10.1007/978-3-319-43671-5_58.
-
(2017)
CONTROLO 2016: proceedings of the 12th portuguese conference on automatic control
, pp. 691-699
-
-
Rodrigues, F.1
Cardeira, C.2
Calado, J.M.F.3
Melício, R.4
-
50
-
-
85126587420
-
An Application of non-linear autoregressive neural networks to predict energy consumption in public buildings
-
Ruiz, L.G.B., Cuellar, M.P., Delgado, M., Pegalajar, M.C., An Application of non-linear autoregressive neural networks to predict energy consumption in public buildings. Energies, 9, 2016, 21 http://dx.doi.org/10.3390/en9090684.
-
(2016)
Energies
, vol.9
, pp. 21
-
-
Ruiz, L.G.B.1
Cuellar, M.P.2
Delgado, M.3
Pegalajar, M.C.4
-
51
-
-
84857652058
-
Short-term load forecasting of power systems by gene expression programming
-
Sadat Hosseini, S.S., Gandomi, A.H., Short-term load forecasting of power systems by gene expression programming. Neural Computing and Applications 21 (2012), 377–389 http://dx.doi.org/10.1007/s00521-010-0444-y.
-
(2012)
Neural Computing and Applications
, vol.21
, pp. 377-389
-
-
Sadat Hosseini, S.S.1
Gandomi, A.H.2
-
53
-
-
34250094997
-
Accelerating the convergence of the back-propagation method
-
Vogl, T.P., Mangis, J.K., Rigler, A.K., Zink, W.T., Alkon, D.L., Accelerating the convergence of the back-propagation method. Biological Cybernetics 59 (1988), 257–263 http://dx.doi.org/10.1007/bf00332914.
-
(1988)
Biological Cybernetics
, vol.59
, pp. 257-263
-
-
Vogl, T.P.1
Mangis, J.K.2
Rigler, A.K.3
Zink, W.T.4
Alkon, D.L.5
-
54
-
-
84990982087
-
Study of the monitored method of atomic clock data exception based on the model of dynamic neural network time series-NAR
-
Wang, X., Song, H., Bai, S., Zeng, T., Zhao, S., Wu, W., Li, W., Liu, Y., Study of the monitored method of atomic clock data exception based on the model of dynamic neural network time series-NAR. 2016 IEEE International Frequency Control Symposium (IFCS), 2016, 1–4 http://dx.doi.org/10.1109/FCS.2016.7546764.
-
(2016)
2016 IEEE International Frequency Control Symposium (IFCS)
, pp. 1-4
-
-
Wang, X.1
Song, H.2
Bai, S.3
Zeng, T.4
Zhao, S.5
Wu, W.6
Li, W.7
Liu, Y.8
-
55
-
-
84969883888
-
Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique
-
Zhang, F., Deb, C., Lee, S.E., Yang, J., Shah, K.W., Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique. Energy and Buildings 126 (2016), 94–103 http://dx.doi.org/10.1016/j.enbuild.2016.05.028.
-
(2016)
Energy and Buildings
, vol.126
, pp. 94-103
-
-
Zhang, F.1
Deb, C.2
Lee, S.E.3
Yang, J.4
Shah, K.W.5
|