Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Abderrezak Laouafi"'
Publikováno v:
Renewable Energy. 157:809-827
Concentrating solar power (CSP) plants use large quantities of water, for different processes such as cycle makeup and cooling. Thus, the estimation of cooling performances in such kind of plants is highly required. On the other hand, yearly round si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9b74f7fd0113d7ecfa26d1e8cd5523e
https://doi.org/10.1016/j.renene.2020.05.012
https://doi.org/10.1016/j.renene.2020.05.012
Publikováno v:
Applied Energy. 322:119525
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0d40c5710e601cb2fd5a52ce815a3bd
https://doi.org/10.1016/j.apenergy.2022.119525
https://doi.org/10.1016/j.apenergy.2022.119525
Publikováno v:
Wind Engineering. 41:235-244
Wind power forecasting is presently one of the challenging tasks to deal with supply-demand balance in modern electric power systems. Accurate wind power predictions are needed to reduce the risk i...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::008fae9e506ac49f9d94204b1ea7eb4c
https://doi.org/10.1177/0309524x17709726
https://doi.org/10.1177/0309524x17709726
Publikováno v:
International Journal of Electrical Power & Energy Systems. 77:136-144
This paper describes daily peak load forecasting using an adaptive hybrid two-stage methodology. Because the time series of electricity consumption is mainly influenced by seasonal effects, the double seasonal Holt–Winters exponential smoothing met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1275296c778d268db0b4258cc0c2283
https://doi.org/10.1016/j.ijepes.2015.11.046
https://doi.org/10.1016/j.ijepes.2015.11.046
Publikováno v:
Energy. 200:117567
Unlike conventional power plants based on fossil fuels, which are generally erected in the coastal regions, where water resource availability is not a critical limitation, concentrating solar power (CSP) plants are usually installed in desert zones w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::099469d2812e321f5224cc2e3f848b01
https://doi.org/10.1016/j.energy.2020.117567
https://doi.org/10.1016/j.energy.2020.117567
Publikováno v:
Volume: 2, Issue: 3 115-126
Journal of Energy Systems
Journal of Energy Systems
Forecasting future electricity demand is one of the most important areas in electrical engineering, due to its vital role for secure and profitable operations in power systems. In recent years, the advent of new concepts and technologies such as dere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdfa0d41cdfaf4554d85bc61981fda8d
https://dergipark.org.tr/tr/pub/jes/issue/38942/434224
https://dergipark.org.tr/tr/pub/jes/issue/38942/434224
Publikováno v:
2015 3rd International Conference on Control, Engineering & Information Technology (CEIT).
Electric load forecasting is one of the most important areas in electrical engineering, due to its main role for economic and reliable operation in power systems. In particular, accurate medium and long-term forecasts have significant effect on grid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e1b2f5f0e869cc8634b0b1d2fadd234
https://doi.org/10.1109/ceit.2015.7233138
https://doi.org/10.1109/ceit.2015.7233138
Publikováno v:
IREC2015 The Sixth International Renewable Energy Congress.
Forecasting electricity demand is a key activity in power systems as it is one of the most important entries for production planning; particularly in liberalized, deregulated markets. With the growing penetration of renewable energy sources, there is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36a6c9e59cdb11639bd5d452c7c96a06
https://doi.org/10.1109/irec.2015.7110894
https://doi.org/10.1109/irec.2015.7110894
Publikováno v:
Studies in Computational Intelligence ISBN: 9783319110165
Computational Intelligence Applications in Modeling and Control
Computational Intelligence Applications in Modeling and Control
Electric load forecasting is a real-life problem in industry. Electricity supplier’s use forecasting models to predict the load demand of their customers to increase/decrease the power generated and to minimize the operating costs of producing elec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e28fe3280725464c89dfd6543848063f
https://doi.org/10.1007/978-3-319-11017-2_5
https://doi.org/10.1007/978-3-319-11017-2_5
Publikováno v:
2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA).
Forecasting of future electricity demand is crucial for the efficient management of power systems. In latest years, due to privatization and deregulation of the power industry, accurate electricity forecast for the next several minutes has become an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86eac80aed47d7539cfa06bab5c4eb0a
https://doi.org/10.1109/sta.2014.7086716
https://doi.org/10.1109/sta.2014.7086716