-
3
-
-
84890278566
-
A review on the basics of building energy estimation
-
N. Fumo A review on the basics of building energy estimation Renew. Sustain. Energy Rev. 31 2014 53 60
-
(2014)
Renew. Sustain. Energy Rev.
, vol.31
, pp. 53-60
-
-
Fumo, N.1
-
4
-
-
84860223914
-
A review on the prediction of building energy consumption
-
H.-x. Zhao, and F. Magoulès A review on the prediction of building energy consumption Renew. Sustain. Energy Rev. 16 2012 3586 3592
-
(2012)
Renew. Sustain. Energy Rev.
, vol.16
, pp. 3586-3592
-
-
Zhao, H.-X.1
Magoulès, F.2
-
5
-
-
84875690842
-
State of the art in building modelling and energy performances prediction: A review
-
A. Foucquier, S. Robert, F. Suard, L. Stéphan, and A. Jay State of the art in building modelling and energy performances prediction: A review Renew. Sustain. Energy Rev. 23 2013 272 288
-
(2013)
Renew. Sustain. Energy Rev.
, vol.23
, pp. 272-288
-
-
Foucquier, A.1
Robert, S.2
Suard, F.3
Stéphan, L.4
Jay, A.5
-
8
-
-
84881604918
-
A methodology for modelling energy-related human behaviour: Application to window opening behaviour in residential buildings
-
V. Fabi, R.V. Andersen, S.P. Corgnati, and B.W. Olesen A methodology for modelling energy-related human behaviour: application to window opening behaviour in residential buildings Build. Simul. 6 2013 415 427
-
(2013)
Build. Simul.
, vol.6
, pp. 415-427
-
-
Fabi, V.1
Andersen, R.V.2
Corgnati, S.P.3
Olesen, B.W.4
-
9
-
-
84860844288
-
Energy behaviours as promoters of energy efficiency: A 21st century review
-
M.A.R. Lopes, C.H. Antunes, and N. Martins Energy behaviours as promoters of energy efficiency: a 21st century review Renew. Sustain. Energy Rev. 16 2012 4095 4104
-
(2012)
Renew. Sustain. Energy Rev.
, vol.16
, pp. 4095-4104
-
-
Lopes, M.A.R.1
Antunes, C.H.2
Martins, N.3
-
12
-
-
79953198933
-
Nonintrusive appliance load monitoring: Review and outlook
-
M. Zeifman, and K. Roth Nonintrusive appliance load monitoring: review and outlook IEEE Trans. Consumer Electron. 57 2011 76 84
-
(2011)
IEEE Trans. Consumer Electron.
, vol.57
, pp. 76-84
-
-
Zeifman, M.1
Roth, K.2
-
14
-
-
78650750765
-
Assessment of practices and technologies of energy saving and renewable energy sources in hotels in Crete
-
N. Zografakis, K. Gillas, A. Pollaki, M. Profylienou, F. Bounialetou, and K.P. Tsagarakis Assessment of practices and technologies of energy saving and renewable energy sources in hotels in Crete Renew. Energy 36 2010 1323 1328
-
(2010)
Renew. Energy
, vol.36
, pp. 1323-1328
-
-
Zografakis, N.1
Gillas, K.2
Pollaki, A.3
Profylienou, M.4
Bounialetou, F.5
Tsagarakis, K.P.6
-
15
-
-
84924679144
-
A library of energy efficiency functions for home appliances
-
H. Abdi, M. Fielding, J. Mullins, and S. Nahavandi A library of energy efficiency functions for home appliances Presented at the International conference on Sustainability in Energy and Buildings, Stockholm, Sweden 2012
-
(2012)
Presented at the International Conference on Sustainability in Energy and Buildings, Stockholm, Sweden
-
-
Abdi, H.1
Fielding, M.2
Mullins, J.3
Nahavandi, S.4
-
16
-
-
84855292182
-
Energy models for demand forecasting - A review
-
L. Suganthi, and A.A. Samuel Energy models for demand forecasting - a review Renew. Sustain. Energy Rev. 16 2012 1223 1240
-
(2012)
Renew. Sustain. Energy Rev.
, vol.16
, pp. 1223-1240
-
-
Suganthi, L.1
Samuel, A.A.2
-
17
-
-
37349028760
-
A review on buildings energy consumption information
-
L. Pérez-Lombard, J. Ortiz, and C. Pout A review on buildings energy consumption information Energy Build. 40 2008 394 398
-
(2008)
Energy Build.
, vol.40
, pp. 394-398
-
-
Pérez-Lombard, L.1
Ortiz, J.2
Pout, C.3
-
18
-
-
80052067006
-
Residential demand response using reinforcement learning
-
D. O'Neill, M. Levorato, A. Goldsmith, and U. Mitra Residential demand response using reinforcement learning Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on 2010 409 414
-
(2010)
Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on
, pp. 409-414
-
-
O'Neill, D.1
Levorato, M.2
Goldsmith, A.3
Mitra, U.4
-
19
-
-
34250170125
-
Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks
-
G.K. Tso, and K.K. Yau Predicting electricity energy consumption: a comparison of regression analysis, decision tree and neural networks Energy 32 2007 1761 1768
-
(2007)
Energy
, vol.32
, pp. 1761-1768
-
-
Tso, G.K.1
Yau, K.K.2
-
23
-
-
67650761091
-
Modeling of end-use energy consumption in the residential sector: A review of modeling techniques
-
L.G. Swan, and V.I. Ugursal Modeling of end-use energy consumption in the residential sector: a review of modeling techniques Renew. Sustain. Energy Rev. 13 2009 1819 1835
-
(2009)
Renew. Sustain. Energy Rev.
, vol.13
, pp. 1819-1835
-
-
Swan, L.G.1
Ugursal, V.I.2
-
24
-
-
0041428062
-
An overview of artificial intelligence-based methods for building energy systems
-
M. Krarti An overview of artificial intelligence-based methods for building energy systems J. Solar Energy Eng. 125 2003 331 342
-
(2003)
J. Solar Energy Eng.
, vol.125
, pp. 331-342
-
-
Krarti, M.1
-
25
-
-
28244486115
-
A review of intervention studies aimed at household energy conservation
-
W. Abrahamse, L. Steg, C. Vlek, and T. Rothengatter A review of intervention studies aimed at household energy conservation J. Environ. Psychol. 25 2005 273 291
-
(2005)
J. Environ. Psychol.
, vol.25
, pp. 273-291
-
-
Abrahamse, W.1
Steg, L.2
Vlek, C.3
Rothengatter, T.4
-
26
-
-
84924679143
-
-
Research Portfolio Online Reporting Tools (RePORT). Available from
-
Research Portfolio Online Reporting Tools (RePORT). Available from: http://exporter.nih.gov/
-
-
-
-
27
-
-
84924679142
-
-
RAWDAD, A Community Resource for Archiving Wireless Data At Dartmouth. Available from
-
RAWDAD, A Community Resource for Archiving Wireless Data At Dartmouth. Available from: http://crawdad.cs.dartmouth.edu/
-
-
-
-
28
-
-
84924679141
-
-
World Wide Protein Data Bank. Available from
-
World Wide Protein Data Bank. Available from: http://www.wwpdb.org/
-
-
-
-
29
-
-
0033879856
-
Artificial neural networks for the prediction of the energy consumption of a passive solar building
-
S.A. Kalogirou, and M. Bojic Artificial neural networks for the prediction of the energy consumption of a passive solar building Energy 25 2000 479 491
-
(2000)
Energy
, vol.25
, pp. 479-491
-
-
Kalogirou, S.A.1
Bojic, M.2
-
30
-
-
33646870136
-
Modeling and predicting building's energy use with artificial neural networks: Methods and results
-
S. Karatasou, M. Santamouris, and V. Geros Modeling and predicting building's energy use with artificial neural networks: methods and results Energy Build. 38 2006 949 958
-
(2006)
Energy Build.
, vol.38
, pp. 949-958
-
-
Karatasou, S.1
Santamouris, M.2
Geros, V.3
-
31
-
-
84924679140
-
-
data.gov.au. Available from
-
data.gov.au. Available from: http://data.gov.au/dataset
-
-
-
-
32
-
-
84924679139
-
-
International Energy Agency (IEA), Policies and Measures databases. Available from
-
International Energy Agency (IEA), Policies and Measures databases. Available from: http://www.iea.org/policiesandmeasures/
-
-
-
-
33
-
-
84924679138
-
-
U.S. Energy Information administration. Available from
-
U.S. Energy Information administration. Available from: http://www.eia.gov/
-
-
-
-
34
-
-
84924679137
-
-
enerdata. Available from
-
enerdata. Available from: http://www.enerdata.net/enerdatauk/
-
-
-
-
35
-
-
84870720747
-
Is disaggregation the holy grail of energy efficiency? the case of electricity
-
K. Carrie Armel, A. Gupta, G. Shrimali, and A. Albert Is disaggregation the holy grail of energy efficiency? The case of electricity Energy Policy 52 2013 213 234
-
(2013)
Energy Policy
, vol.52
, pp. 213-234
-
-
Carrie Armel, K.1
Gupta, A.2
Shrimali, G.3
Albert, A.4
-
36
-
-
84893535305
-
Blued: A fully labeled public dataset for event-based non-intrusive load monitoring research
-
Beijing, China
-
K. Anderson, A. Ocneanu, D. Benitez, D. Carlson, A. Rowe, and M. Berges Blued: a fully labeled public dataset for event-based non-intrusive load monitoring research Proceedings of the 2nd KDD Workshop on Data Mining Applications in Sustainability Beijing, China 2012 12 16
-
(2012)
Proceedings of the 2nd KDD Workshop on Data Mining Applications in Sustainability
, pp. 12-16
-
-
Anderson, K.1
Ocneanu, A.2
Benitez, D.3
Carlson, D.4
Rowe, A.5
Berges, M.6
-
38
-
-
84859094259
-
Disaggregation of home energy display data using probabilistic approach
-
M. Zeifman Disaggregation of home energy display data using probabilistic approach IEEE Trans. Consumer Electron. 58 2012 23 31
-
(2012)
IEEE Trans. Consumer Electron.
, vol.58
, pp. 23-31
-
-
Zeifman, M.1
-
39
-
-
84906701731
-
Smart∗: An open data set and tools for enabling research in sustainable homes
-
Beijing, China
-
S. Barker, A. Mishra, D. Irwin, E. Cecchet, P. Shenoy, and J. Albrecht Smart∗: An open data set and tools for enabling research in sustainable homes Proceedings of the 2012 Workshop on Data Mining Applications in Sustainability (SustKDD 2012) Beijing, China 2012 1 6
-
(2012)
Proceedings of the 2012 Workshop on Data Mining Applications in Sustainability (SustKDD 2012)
, pp. 1-6
-
-
Barker, S.1
Mishra, A.2
Irwin, D.3
Cecchet, E.4
Shenoy, P.5
Albrecht, J.6
-
41
-
-
84885415306
-
Appliance consumption signature database and recognition test protocols
-
C. Gisler, A. Ridi, D. Zujferey, O.A. Khaled, and J. Hennebert Appliance consumption signature database and recognition test protocols 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA) 2013 336 341
-
(2013)
8th International Workshop on Systems, Signal Processing and Their Applications (WoSSPA)
, pp. 336-341
-
-
Gisler, C.1
Ridi, A.2
Zujferey, D.3
Khaled, O.A.4
Hennebert, J.5
-
44
-
-
77956216328
-
-
N. Issacs, M. Camilleri, L. Burrough, A. Pollard, K. Saville-Smith, R. Fraser, P. Rossouw, and J. Jowett Energy use in New Zealand Households: Final Report on the Household Energy End-use Project (HEEP). BRANZ Study Report 221 2010
-
(2010)
Energy Use in New Zealand Households: Final Report on the Household Energy End-use Project (HEEP). BRANZ Study Report 221
-
-
Issacs, N.1
Camilleri, M.2
Burrough, L.3
Pollard, A.4
Saville-Smith, K.5
Fraser, R.6
Rossouw, P.7
Jowett, J.8
-
45
-
-
77955582902
-
Domestic electricity use: A high-resolution energy demand model
-
I. Richardson, M. Thomson, D. Infield, and C. Clifford Domestic electricity use: a high-resolution energy demand model Energy Build. 42 2010 1878 1887
-
(2010)
Energy Build.
, vol.42
, pp. 1878-1887
-
-
Richardson, I.1
Thomson, M.2
Infield, D.3
Clifford, C.4
-
46
-
-
80052993212
-
Markovian models for home electricity consumption
-
Toronto, Ontario, Canada
-
O. Ardakanian, S. Keshav, and C. Rosenberg Markovian models for home electricity consumption Proceedings of the 2nd ACM SIGCOMM workshop on Green Networking Toronto, Ontario, Canada 2011 31 36
-
(2011)
Proceedings of the 2nd ACM SIGCOMM Workshop on Green Networking
, pp. 31-36
-
-
Ardakanian, O.1
Keshav, S.2
Rosenberg, C.3
-
47
-
-
83455176221
-
The hitchhiker's guide to successful residential sensing deployments
-
T.W. Hnat, V. Srinivasan, J. Lu, T.I. Sookoor, R. Dawson, and J. Stankovic The hitchhiker's guide to successful residential sensing deployments Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems 2011 232 245
-
(2011)
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
, pp. 232-245
-
-
Hnat, T.W.1
Srinivasan, V.2
Lu, J.3
Sookoor, T.I.4
Dawson, R.5
Stankovic, J.6
-
48
-
-
77956406039
-
Unlocking the€ 53 billion savings from smart meters in the EU: How increasing the adoption of dynamic tariffs could make or break the EU's smart grid investment
-
A. Faruqui, D. Harris, and R. Hledik Unlocking the€ 53 billion savings from smart meters in the EU: How increasing the adoption of dynamic tariffs could make or break the EU's smart grid investment Energy Policy 38 2010 6222 6231
-
(2010)
Energy Policy
, vol.38
, pp. 6222-6231
-
-
Faruqui, A.1
Harris, D.2
Hledik, R.3
-
49
-
-
84872399982
-
On the accuracy of appliance identification based on distributed load metering data
-
A. Reinhardt, P. Baumann, D. Burgstahler, M. Hollick, H. Chonov, and M. Werner On the accuracy of appliance identification based on distributed load metering data Sustainable Internet and ICT for Sustainability (SustainIT), 2012 2012 1 9
-
(2012)
Sustainable Internet and ICT for Sustainability (SustainIT), 2012
, pp. 1-9
-
-
Reinhardt, A.1
Baumann, P.2
Burgstahler, D.3
Hollick, M.4
Chonov, H.5
Werner, M.6
-
50
-
-
84924679135
-
-
Smart∗: Optimizing Energy Consumption in Smart Homes. Available from
-
Smart∗: Optimizing Energy Consumption in Smart Homes. Available from: http://lass.cs.umass.edu/projects/smart/
-
-
-
-
51
-
-
84901319055
-
AMPds: A public dataset for load disaggregation and eco-feedback research
-
S. Makonin, F. Popowich, L. Bartram, B. Gill, and I.V. Bajic AMPds: a public dataset for load disaggregation and eco-feedback research Electrical Power and Energy Conference (EPEC) 2013 1 6
-
(2013)
Electrical Power and Energy Conference (EPEC)
, pp. 1-6
-
-
Makonin, S.1
Popowich, F.2
Bartram, L.3
Gill, B.4
Bajic, I.V.5
-
52
-
-
85107960718
-
It's different: Insights into home energy consumption in India
-
Roma, Italy
-
N. Batra, M. Gulati, A. Singh, and M.B. Srivastava It's different: insights into home energy consumption in India Proceedings of the 5th ACM Workshop on Embedded Systems for Energy-Efficient Buildings Roma, Italy 2013 1 8
-
(2013)
Proceedings of the 5th ACM Workshop on Embedded Systems for Energy-Efficient Buildings
, pp. 1-8
-
-
Batra, N.1
Gulati, M.2
Singh, A.3
Srivastava, M.B.4
-
55
-
-
84886567160
-
-
University of California, School of Information and Computer Science, Irvine, CA, Available from
-
K.L. Bache, M. UCI Machine Learning Repository, University of California, School of Information and Computer Science, Irvine, CA, Available from: http://archive.ics.uci.edu/ml/datasets/Individual+household+electric+power+consumption
-
M. UCI Machine Learning Repository
-
-
Bache, K.L.1
-
56
-
-
84872023649
-
-
Oak Ridge National Laboratory ORNL/TM-2010/206
-
J. Christian, A. Gehl, P. Boudreaux, J. New, and R. Dockery Tennessee Valley Authority's Campbell Creek Energy Efficient Homes Project: 2010 First Year Performance Report July 1, 2009-August 31, 2010 2010 Oak Ridge National Laboratory ORNL/TM-2010/206
-
(2010)
Tennessee Valley Authority's Campbell Creek Energy Efficient Homes Project: 2010 First Year Performance Report July 1, 2009-August 31, 2010
-
-
Christian, J.1
Gehl, A.2
Boudreaux, P.3
New, J.4
Dockery, R.5
-
57
-
-
80755176722
-
Modeling and simulation of the energy use in an occupied residential building in cold climate
-
T. Olofsson, and T. Mahlia Modeling and simulation of the energy use in an occupied residential building in cold climate Appl. Energy 91 2012 432 438
-
(2012)
Appl. Energy
, vol.91
, pp. 432-438
-
-
Olofsson, T.1
Mahlia, T.2
-
59
-
-
3142575317
-
Effect of length of measurement period on accuracy of predicted annual heating energy consumption of buildings
-
S.-H. Cho, W.-T. Kim, C.-S. Tae, and M. Zaheeruddin Effect of length of measurement period on accuracy of predicted annual heating energy consumption of buildings Energy Convers. Manage. 45 2004 2867 2878
-
(2004)
Energy Convers. Manage.
, vol.45
, pp. 2867-2878
-
-
Cho, S.-H.1
Kim, W.-T.2
Tae, C.-S.3
Zaheeruddin, M.4
-
61
-
-
84874570159
-
Household electricity survey: A study of domestic electrical product usage
-
J.-P. Zimmermann, M. Evans, J. Griggs, N. King, L. Harding, P. Roberts, et al. Intertek Testing & Certification Ltd
-
J.-P. Zimmermann, M. Evans, J. Griggs, N. King, L. Harding, P. Roberts, et al., "Household Electricity Survey: A study of domestic electrical product usage," Intertek Testing & Certification Ltd, Technical Report R66141, 2012.
-
(2012)
Technical Report R66141
-
-
-
64
-
-
84924679132
-
-
Household Energy Consumption Survey, Australia: Summary of Results, 2012. Available from
-
Household Energy Consumption Survey, Australia: Summary of Results, 2012. Available from: http://www.abs.gov.au/AUSSTATS/abs.nsf/Lookup/4670.0Main+Features12012?OpenDocument
-
-
-
-
65
-
-
34250898707
-
An energy benchmarking model based on artificial neural network method utilizing US Commercial Buildings Energy Consumption Survey (CBECS) database
-
M. Yalcintas, and U. Aytun Ozturk An energy benchmarking model based on artificial neural network method utilizing US Commercial Buildings Energy Consumption Survey (CBECS) database Int. J. Energy Res. 31 2007 412 421
-
(2007)
Int. J. Energy Res.
, vol.31
, pp. 412-421
-
-
Yalcintas, M.1
Aytun Ozturk, U.2
-
66
-
-
22144479363
-
Household electricity demand, revisited
-
P.C. Reiss, and M.W. White Household electricity demand, revisited Rev. Econ. Stud. 72 2005 853 883
-
(2005)
Rev. Econ. Stud.
, vol.72
, pp. 853-883
-
-
Reiss, P.C.1
White, M.W.2
-
67
-
-
84924679131
-
-
Survey Of Household Energy Use. Available from
-
Survey Of Household Energy Use. Available from: http://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&SDDS=4403
-
-
-
-
68
-
-
37449014103
-
Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector
-
M. Aydinalp-Koksal, and V.I. Ugursal Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector Appl. Energy 85 2008 271 296
-
(2008)
Appl. Energy
, vol.85
, pp. 271-296
-
-
Aydinalp-Koksal, M.1
Ugursal, V.I.2
-
69
-
-
0032181722
-
A residential end-use energy consumption model for Canada
-
H. Farahbakhsh, V.I. Ugursal, and A.S. Fung A residential end-use energy consumption model for Canada Int. J. Energy Res. 22 1998 1133 1143
-
(1998)
Int. J. Energy Res.
, vol.22
, pp. 1133-1143
-
-
Farahbakhsh, H.1
Ugursal, V.I.2
Fung, A.S.3
-
70
-
-
0036469966
-
Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks
-
M. Aydinalp, V. Ismet Ugursal, and A.S. Fung Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks Appl. Energy 71 2002 87 110
-
(2002)
Appl. Energy
, vol.71
, pp. 87-110
-
-
Aydinalp, M.1
Ismet Ugursal, V.2
Fung, A.S.3
-
71
-
-
67349088412
-
Constructing load profiles for household electricity and hot water from time-use data - Modelling approach and validation
-
J. Widén, M. Lundh, I. Vassileva, E. Dahlquist, K. Ellegård, and E. Wäckelgård Constructing load profiles for household electricity and hot water from time-use data - modelling approach and validation Energy Build. 41 2009 753 768
-
(2009)
Energy Build.
, vol.41
, pp. 753-768
-
-
Widén, J.1
Lundh, M.2
Vassileva, I.3
Dahlquist, E.4
Ellegård, K.5
Wäckelgård, E.6
-
72
-
-
84924679130
-
-
Available from
-
Available from: http://www.enyckeln.se/
-
-
-
-
73
-
-
84924679129
-
-
Residential Energy Consumption Survey. Available from
-
Residential Energy Consumption Survey. Available from: http://www.eia.gov/consumption/residential/reports/2009/methodology-end-use.cfm
-
-
-
-
74
-
-
84924679128
-
-
Commercial Building Energy Consumption Survey. Available from
-
Commercial Building Energy Consumption Survey. Available from: http://www.eia.gov/consumption/commercial/
-
-
-
-
75
-
-
36549076471
-
Contrasting the capabilities of building energy performance simulation programs
-
D.B. Crawley, J.W. Hand, M. Kummert, and B.T. Griffith Contrasting the capabilities of building energy performance simulation programs Build. Environ. 43 2008 661 673
-
(2008)
Build. Environ.
, vol.43
, pp. 661-673
-
-
Crawley, D.B.1
Hand, J.W.2
Kummert, M.3
Griffith, B.T.4
-
76
-
-
84924679127
-
-
DOE2. Available from
-
DOE2. Available from: http://www.doe2.com/
-
-
-
-
77
-
-
0034825352
-
EnergyPlus: Creating a new-generation building energy simulation program
-
D.B. Crawley, L.K. Lawrie, F.C. Winkelmann, W.F. Buhl, Y.J. Huang, and C.O. Pedersen EnergyPlus: creating a new-generation building energy simulation program Energy Build. 33 2001 319 331
-
(2001)
Energy Build.
, vol.33
, pp. 319-331
-
-
Crawley, D.B.1
Lawrie, L.K.2
Winkelmann, F.C.3
Buhl, W.F.4
Huang, Y.J.5
Pedersen, C.O.6
-
78
-
-
84924679126
-
-
EnergyPlus. Available from
-
EnergyPlus. Available from: http://apps1.eere.energy.gov/buildings/energyplus/energyplus-about.cfm
-
-
-
-
79
-
-
84924679125
-
-
ESP-r. Available from
-
ESP-r. Available from: http://www.esru.strath.ac.uk/Programs/ESP-r.htm
-
-
-
-
80
-
-
84924679124
-
-
Building Energy Software Tools Directory. U.S. Department of Energy. Available from
-
Building Energy Software Tools Directory. U.S. Department of Energy. Available from: http://apps1.eere.energy.gov/buildings/tools-directory/
-
-
-
-
81
-
-
1642323621
-
Cooling load prediction for buildings using general regression neural networks
-
A.E. Ben-Nakhi, and M.A. Mahmoud Cooling load prediction for buildings using general regression neural networks Energy Convers. Manage. 45 2004 2127 2141
-
(2004)
Energy Convers. Manage.
, vol.45
, pp. 2127-2141
-
-
Ben-Nakhi, A.E.1
Mahmoud, M.A.2
-
82
-
-
0029356977
-
Building energy use prediction and system identification using recurrent neural networks
-
J. Kreider, D. Claridge, P. Curtiss, R. Dodier, J. Haberl, and M. Krarti Building energy use prediction and system identification using recurrent neural networks J. Solar Energy Eng. 117 1995 161 166
-
(1995)
J. Solar Energy Eng.
, vol.117
, pp. 161-166
-
-
Kreider, J.1
Claridge, D.2
Curtiss, P.3
Dodier, R.4
Haberl, J.5
Krarti, M.6
-
84
-
-
60249090242
-
Prediction of building energy consumption by using artificial neural networks
-
B.B. Ekici, and U.T. Aksoy Prediction of building energy consumption by using artificial neural networks Adv. Eng. Softw. 40 2009 356 362
-
(2009)
Adv. Eng. Softw.
, vol.40
, pp. 356-362
-
-
Ekici, B.B.1
Aksoy, U.T.2
-
85
-
-
84924679123
-
-
Whole building design guide. Available from
-
Whole building design guide. Available from: http://www.wbdg.org/tools/blast.php
-
-
-
|