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X
Moustris, K. P.
48  Ergebnisse:
Personensuche X
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1

Artificial neural network modelling of moisture content evo..:

Chasiotis, V.K. ; Tzempelikos, D.A. ; Filios, A.E..
Computers and Electronics in Agriculture.  172 (2020)  - p. 105074 , 2020
Link: https://doi.org/10.1016/..
 
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2

Application of Artificial Neuron Networks as energy consump..:

Katsatos, A.L. ; Moustris, K.P.
Energy Procedia.  157 (2019)  - p. 851-861 , 2019
Link: https://doi.org/10.1016/..
 
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3

Assessment of the Thermal Comfort Conditions in a Universit..:

, In: Perspectives on Atmospheric Sciences; Springer Atmospheric Sciences,
Nastos, P. T. ; Moustris, K. P. ; Charalampopoulos, I... - p. 309-315 , 2016
Link: https://doi.org/10.1007/..
 
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4

24-h Ahead Wind Speed Prediction for the Optimum Operation ..:

, In: Perspectives on Atmospheric Sciences; Springer Atmospheric Sciences,
Moustris, K. P. ; Zafirakis, D. ; Alamo, D. H... - p. 409-414 , 2016
Link: https://doi.org/10.1007/..
 
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5

Estimation of Hospital Admissions Respiratory Disease Attri..:

, In: Perspectives on Atmospheric Sciences; Springer Atmospheric Sciences,
Ntourou, K. ; Moustris, K. P. ; Giannouli, M... - p. 1105-1110 , 2016
Link: https://doi.org/10.1007/..
 
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6

Weekend—Weekday Effect Assessment of PM10 in Volos, Greece ..:

, In: Perspectives on Atmospheric Sciences; Springer Atmospheric Sciences,
Proias, G. ; Nastos, P. T. ; Moustris, K. P.. - p. 957-962 , 2016
Link: https://doi.org/10.1007/..
 
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7

One day-ahead forecasting of mean hourly global solar irrad..:

, In: Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016),
Moustris, K. P. ; Kavvadias, K. A. ; Kokkosis, A. I.. - p. 1-6 , 2016
Link: https://doi.org/10.1049/..
 
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8

Wind power forecasting using historical data and artificial..:

, In: Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016),
Moustris, K. P. ; Zafirakis, D. ; Kavvadias, K. A.. - p. 1-6 , 2016
Link: https://doi.org/10.1049/..
 
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9

One Day-Ahead Prognosis of Energy Demand Using Artificial I..:

, In: Perspectives on Atmospheric Sciences; Springer Atmospheric Sciences,
Zafirakis, D. ; Moustris, K. P. ; Alamo, D. H.. - p. 335-340 , 2016
Link: https://doi.org/10.1007/..
 
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10

Energy consumption based on heating/cooling degree days wit..:

Moustris, K. P. ; Nastos, P. T. ; Bartzokas, A....
Theoretical and Applied Climatology.  122 (2014)  3-4 - p. 517-529 , 2014
Link: https://doi.org/10.1007/..
 
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11

Artificial neural networks modeling for forecasting the max..:

Nastos, P.T. ; Paliatsos, A.G. ; Koukouletsos, K.V...
Atmospheric Research.  144 (2014)  - p. 141-150 , 2014
Link: https://doi.org/10.1016/..
 
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12

One-Day Prediction of Biometeorological Conditions in a Med..:

Moustris, K. P. ; Nastos, P. T. ; Paliatsos, A. G.
Advances in Meteorology.  2013 (2013)  - p. 1-15 , 2013
Link: https://doi.org/10.1155/..
 
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13

Rain intensity forecast using Artificial Neural Networks in..:

Nastos, P.T. ; Moustris, K.P. ; Larissi, I.K..
Atmospheric Research.  119 (2013)  - p. 153-160 , 2013
Link: https://doi.org/10.1016/..
 
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14

Development and Application of Artificial Neural Network Mo..:

Moustris, K. P. ; Larissi, I. K. ; Nastos, P. T...
Water, Air, & Soil Pollution.  224 (2013)  8 - p. , 2013
Link: https://doi.org/10.1007/..
 
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15

Forecasting the discomfort levels within the greater Athens..:

Vouterakos, P. A. ; Moustris, K. P. ; Bartzokas, A....
Theoretical and Applied Climatology.  110 (2012)  3 - p. 329-343 , 2012
Link: https://doi.org/10.1007/..
 
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