-
2
-
-
0003410292
-
-
Prentice-Hall, Englewood cliffs, NJ
-
Box G., Jenkins G.M., and Reinsel G. Time Series Analysis: Forecasting and Control. third ed (1994), Prentice-Hall, Englewood cliffs, NJ
-
(1994)
Time Series Analysis: Forecasting and Control. third ed
-
-
Box, G.1
Jenkins, G.M.2
Reinsel, G.3
-
5
-
-
0002715074
-
Forecasting the short-term demand for electricity: do neural networks stand a better chance?
-
Darbellay G.A., and Slama M. Forecasting the short-term demand for electricity: do neural networks stand a better chance?. International Journal of Forecasting 16 (2000) 71-83
-
(2000)
International Journal of Forecasting
, vol.16
, pp. 71-83
-
-
Darbellay, G.A.1
Slama, M.2
-
7
-
-
0036869810
-
Simple model for prediction of loads in district-heating systems
-
Dotzauer E. Simple model for prediction of loads in district-heating systems. Applied Energy 73 (2002) 277-284
-
(2002)
Applied Energy
, vol.73
, pp. 277-284
-
-
Dotzauer, E.1
-
8
-
-
13844306850
-
Prediction of hourly energy consumption in buildings based on a feedback artificial neural network
-
Gonzalez P.A., and Zamarreno J.M. Prediction of hourly energy consumption in buildings based on a feedback artificial neural network. Energy and Buildings 37 (2005) 595-601
-
(2005)
Energy and Buildings
, vol.37
, pp. 595-601
-
-
Gonzalez, P.A.1
Zamarreno, J.M.2
-
9
-
-
29144449147
-
Extraction of physical laws from joint experimental data
-
Grabec I. Extraction of physical laws from joint experimental data. European Physical Journal B 48 (2005) 279-289
-
(2005)
European Physical Journal B
, vol.48
, pp. 279-289
-
-
Grabec, I.1
-
10
-
-
34248551558
-
-
Grabec, I., Sachse, W., 1997. Synergetics of Measurement, Prediction and Control, (Springer series in synergetics). Springer, Berlin, Heidelberg, New York.
-
-
-
-
12
-
-
0032494994
-
Artificial neural networks for short-term energy forecasting: Accuracy and economic value
-
Hobbs B.F., Helman U., Jitprapaikulsarn S., Konda S., and Maratukulam D. Artificial neural networks for short-term energy forecasting: Accuracy and economic value. Neurocomputing 23 (1998) 71-84
-
(1998)
Neurocomputing
, vol.23
, pp. 71-84
-
-
Hobbs, B.F.1
Helman, U.2
Jitprapaikulsarn, S.3
Konda, S.4
Maratukulam, D.5
-
13
-
-
0025386931
-
Identification of seasonal short-term forecasting models using statistical decision functions
-
Hubele N.F., and Cheng C.S. Identification of seasonal short-term forecasting models using statistical decision functions. IEEE Transactions on Power Systems 5 (1990) 40-45
-
(1990)
IEEE Transactions on Power Systems
, vol.5
, pp. 40-45
-
-
Hubele, N.F.1
Cheng, C.S.2
-
15
-
-
23244437727
-
Models for mid-term electricity demand forecasting incorporating weather influences
-
Mirasgedis S., Sarafidis Y., Georgopoulou E., Lalas D.P., Moschovits M., Karagiannis F., and Papakonstantinou D. Models for mid-term electricity demand forecasting incorporating weather influences. Energy 31 (2006) 208-227
-
(2006)
Energy
, vol.31
, pp. 208-227
-
-
Mirasgedis, S.1
Sarafidis, Y.2
Georgopoulou, E.3
Lalas, D.P.4
Moschovits, M.5
Karagiannis, F.6
Papakonstantinou, D.7
-
16
-
-
31044453152
-
Applications of artificial intelligence for optimization of compressor scheduling
-
Nguyen H.H., and Chan C.W. Applications of artificial intelligence for optimization of compressor scheduling. Engineering Applications of Artificial Intelligence 19 (2006) 113-126
-
(2006)
Engineering Applications of Artificial Intelligence
, vol.19
, pp. 113-126
-
-
Nguyen, H.H.1
Chan, C.W.2
-
17
-
-
0036138064
-
Temperature and seasonality influences on Spanish electricity load
-
Pardo A., Meneu V., and Valor E. Temperature and seasonality influences on Spanish electricity load. Energy Economics 24 (2002) 55-70
-
(2002)
Energy Economics
, vol.24
, pp. 55-70
-
-
Pardo, A.1
Meneu, V.2
Valor, E.3
-
18
-
-
0035343067
-
A Bayesian multiple models combination method for time series prediction
-
Petridis V., Kehagias A., Petrou L., Bakirtzis A., Kiartzis S., Panagiotou H., et al. A Bayesian multiple models combination method for time series prediction. Journal of Intelligent and Robotic Systems 31 (2001) 69-89
-
(2001)
Journal of Intelligent and Robotic Systems
, vol.31
, pp. 69-89
-
-
Petridis, V.1
Kehagias, A.2
Petrou, L.3
Bakirtzis, A.4
Kiartzis, S.5
Panagiotou, H.6
-
19
-
-
24944447046
-
An efficient linear model and optimisation algorithm for multi-site combined heat and power production
-
Rong A., Hakonen H., and Lahdelma R. An efficient linear model and optimisation algorithm for multi-site combined heat and power production. European Journal of Operational Research 168 (2006) 612-632
-
(2006)
European Journal of Operational Research
, vol.168
, pp. 612-632
-
-
Rong, A.1
Hakonen, H.2
Lahdelma, R.3
-
20
-
-
0030829507
-
Sensitivity of electricity and natural gas consumption to climate in the USA-methodology and results for eight states
-
Sailor D., and Munoz R. Sensitivity of electricity and natural gas consumption to climate in the USA-methodology and results for eight states. Energy 22 10 (1997) 987-998
-
(1997)
Energy
, vol.22
, Issue.10
, pp. 987-998
-
-
Sailor, D.1
Munoz, R.2
-
21
-
-
21444437355
-
Prediction of energy consumption and risk of excess demand in a distribution system
-
Thaler M., Grabec I., and Poredoš A. Prediction of energy consumption and risk of excess demand in a distribution system. Physica A 355 (2005) 46-53
-
(2005)
Physica A
, vol.355
, pp. 46-53
-
-
Thaler, M.1
Grabec, I.2
Poredoš, A.3
-
22
-
-
0035343072
-
Computational intelligence techniques for short-term electric load forecasting
-
Tzafestas S., and Tzafestas E. Computational intelligence techniques for short-term electric load forecasting. Journal of Intelligent and Robotic Systems 31 (2001) 7-68
-
(2001)
Journal of Intelligent and Robotic Systems
, vol.31
, pp. 7-68
-
-
Tzafestas, S.1
Tzafestas, E.2
|