-
1
-
-
77954749672
-
The energy dashboard: Improving the visibility of energy consumption at a campus-wide scale
-
New York, NY, USA, ACM.
-
Y. Agarwal, T. Weng, and R. K. Gupta. The energy dashboard: improving the visibility of energy consumption at a campus-wide scale. In 1st ACM Workshop on Embedded Sensing Systems for Energy- Efficiency in Buildings, BuildSys '09, page 55-60, New York, NY, USA, 2009. ACM.
-
(2009)
1st ACM Workshop on Embedded Sensing Systems for Energy- Efficiency in Buildings, BuildSys '09
, pp. 55-60
-
-
Agarwal, Y.1
Weng, T.2
Gupta, R.K.3
-
2
-
-
84866051960
-
Following the electrons: Methods for power management in commercial buildings
-
New York, NY, USA, ACM.
-
G. Bellala, M. Marwah, M. Arlitt, G. Lyon, and C. Bash. Following the electrons: methods for power management in commercial buildings. In 18th ACM SIGKDD Int. Conf. on Knowledge discovery and data mining, KDD '12, page 994-1002, New York, NY, USA, 2012. ACM.
-
(2012)
18th ACM SIGKDD Int. Conf. On Knowledge Discovery and Data Mining, KDD '12
, pp. 994-1002
-
-
Bellala, G.1
Marwah, M.2
Arlitt, M.3
Lyon, G.4
Bash, C.5
-
3
-
-
84875189572
-
Towards an understanding of campus-scale power consumption
-
New York, NY, USA, ACM.
-
G. Bellala, M. Marwah, M. Arlitt, G. Lyon, and C. E. Bash. Towards an understanding of campus-scale power consumption. In 3rd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, BuildSys '11, page 73-78, New York, NY, USA, 2011. ACM.
-
(2011)
3rd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, BuildSys '11
, pp. 73-78
-
-
Bellala, G.1
Marwah, M.2
Arlitt, M.3
Lyon, G.4
Bash, C.E.5
-
4
-
-
0006582335
-
Modeling hourly energy use in commercial buildings with fourier series functional forms
-
Aug.
-
A. Dhar, T. A. Reddy, and D. E. Claridge. Modeling hourly energy use in commercial buildings with fourier series functional forms. Journal of Solar Energy Engineering, 120(3), Aug. 1998.
-
(1998)
Journal of Solar Energy Engineering
, vol.120
, Issue.3
-
-
Dhar, A.1
Reddy, T.A.2
Claridge, D.E.3
-
5
-
-
0001935440
-
Splines minimizing rotation-invariant semi-norms in sobolev spaces
-
W. Schempp and K. Zeller, editors, Springer
-
J. Duchon. Splines minimizing rotation-invariant semi-norms in sobolev spaces. In W. Schempp and K. Zeller, editors, Constructive Theory of Functions of Several Variables, volume 571 of Lecture Notes in Mathematics, pages 85-100. Springer, 1977.
-
(1977)
Constructive Theory of Functions of Several Variables, Volume 571 of Lecture Notes in Mathematics
, pp. 85-100
-
-
Duchon, J.1
-
6
-
-
13844306850
-
Prediction of hourly energy consumption in buildings based on a feedback artificial neural network
-
June
-
P. A. González and J. M. Zamarreño. Prediction of hourly energy consumption in buildings based on a feedback artificial neural network. Energy and Buildings, 37(6):595-601, June 2005.
-
(2005)
Energy and Buildings
, vol.37
, Issue.6
, pp. 595-601
-
-
González, P.A.1
Zamarreño, J.M.2
-
7
-
-
84872249938
-
A visual analytics approach for Peak- Preserving prediction of large seasonal time series
-
M. C. Hao, H. Janetzko, S. Mittelstädt, W. Hill, U. Dayal, D. A. Keim, M. Marwah, and R. K. Sharma. A visual analytics approach for Peak- Preserving prediction of large seasonal time series. Computer Graphics Forum, 30(3):691-700, 2011.
-
(2011)
Computer Graphics Forum
, vol.30
, Issue.3
, pp. 691-700
-
-
Hao, M.C.1
Janetzko, H.2
Mittelstädt, S.3
Hill, W.4
Dayal, U.5
Keim, D.A.6
Marwah, M.7
Sharma, R.K.8
-
8
-
-
84866092678
-
-
International Energy Agency.
-
International Energy Agency. World energy outlook 2012, 2012.
-
(2012)
World Energy Outlook 2012
-
-
-
10
-
-
14544268558
-
Methods for fault detection, diagnostics, and prognostics for building systems - A review, part i
-
S. Katipamula and M. Brambley. Methods for fault detection, diagnostics, and prognostics for building systems - a review, part i. HVAC&R Research, 11(1):3-25, 2005.
-
(2005)
HVAC&R Research
, vol.11
, Issue.1
, pp. 3-25
-
-
Katipamula, S.1
Brambley, M.2
-
11
-
-
56049088473
-
Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural networks
-
Jan.
-
Q. Li, Q. Meng, J. Cai, H. Yoshino, and A. Mochida. Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural networks. Energy Conversion and Management, 50(1):90-96, Jan. 2009.
-
(2009)
Energy Conversion and Management
, vol.50
, Issue.1
, pp. 90-96
-
-
Li, Q.1
Meng, Q.2
Cai, J.3
Yoshino, H.4
Mochida, A.5
-
12
-
-
84870209873
-
Statistical modeling for anomaly detection forecasting and root cause analysis of energy consumption for a portfolio of buildings
-
F. Liu, H. Jiang, Y. M. Lee, J. Snowdon, and M. Bobker. Statistical modeling for anomaly detection, forecasting and root cause analysis of energy consumption for a portfolio of buildings. BS - Building Simulation, 2011.
-
(2011)
BS - Building Simulation
-
-
Liu, F.1
Jiang, H.2
Lee, Y.M.3
Snowdon, J.4
Bobker, M.5
-
13
-
-
84876114724
-
Optimized clusters for disaggregated electricity load forecasting
-
M. Misiti, Y. Misiti, G. Oppenheim, and J. Poggi. Optimized clusters for disaggregated electricity load forecasting. REVSTAT, 8:105-124, 2010.
-
(2010)
REVSTAT
, vol.8
, pp. 105-124
-
-
Misiti, M.1
Misiti, Y.2
Oppenheim, G.3
Poggi, J.4
-
14
-
-
52349093047
-
Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption
-
A. H. Neto and F. A. S. Fiorelli. Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption. Energy and Buildings, 40(12):2169-2176, 2008.
-
(2008)
Energy and Buildings
, vol.40
, Issue.12
, pp. 2169-2176
-
-
Neto, A.H.1
Fiorelli, F.A.S.2
-
15
-
-
84872167144
-
SolaR: Solar radiation and photovoltaic systems with R
-
O. Perpiñán. solaR: Solar radiation and photovoltaic systems with R. Journal of Statistical Software, 50(9):1-32, 2012.
-
(2012)
Journal of Statistical Software
, vol.50
, Issue.9
, pp. 1-32
-
-
Perpiñán, O.1
-
16
-
-
37849186514
-
Using intelligent data analysis to detect abnormal energy consumption in buildings
-
Jan.
-
J. E. Seem. Using intelligent data analysis to detect abnormal energy consumption in buildings. Energy and Buildings, 39(1):52-58, Jan. 2007.
-
(2007)
Energy and Buildings
, vol.39
, Issue.1
, pp. 52-58
-
-
Seem, J.E.1
-
17
-
-
65349129637
-
Nonintrusive load monitoring and diagnostics in power systems
-
S. Shaw, S. Leeb, L. Norford, and R. Cox. Nonintrusive load monitoring and diagnostics in power systems. IEEE Trans. Instrum. Meas., 57(7):1445-1454, 2008.
-
(2008)
IEEE Trans. Instrum. Meas.
, vol.57
, Issue.7
, pp. 1445-1454
-
-
Shaw, S.1
Leeb, S.2
Norford, L.3
Cox, R.4
-
20
-
-
79954458956
-
Parallel support vector machines applied to the prediction of multiple buildings energy consumption
-
June
-
H. Zhao and F. Magoulès. Parallel support vector machines applied to the prediction of multiple buildings energy consumption. Journal of Algorithms & Computational Technology, 4(2):231-249, June 2010.
-
(2010)
Journal of Algorithms & Computational Technology
, vol.4
, Issue.2
, pp. 231-249
-
-
Zhao, H.1
Magoulès, F.2
|