Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Djelloul, Benatiallah"'
Publikováno v:
AIMS Energy, Vol 12, Iss 1, Pp 62-83 (2024)
This study was conducted for six cities in southern Algeria, where the accuracy of three models—support vector machines (SVM), artificial neural networks (ANN) and a novel hybrid firefly algorithm-based model (FFA-ANN)—were investigated when esti
Externí odkaz:
https://doaj.org/article/aecf6c7bb1c34ea6b855550a06fd883d
Autor:
Halima, Djeldjli, Djelloul, Benatiallah, Mehdi, Ghasri, Camel, Tanougast, Ali, Benatiallah, Bouchra, Benabdelkrim
Publikováno v:
Computers, Materials & Continua; 2024, Vol. 79 Issue 3, p4725-4740, 16p
Publikováno v:
AIMS Energy, Vol 7, Iss 6, Pp 710-727 (2019)
The paper presents the evaluation of performance of three models at three sites for estimating instantaneous clear-sky global solar radiation on a horizontal surface in Algeria. Additionally, recommend it to be used for estimating solar radiation at
Externí odkaz:
https://doaj.org/article/0058f299951d44f99c30a52f8fa503d6
Publikováno v:
Arabian Journal of Geosciences. 15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29168d81d0755b48739f2be2dc5809c9
https://doi.org/10.1007/s12517-022-11050-0
https://doi.org/10.1007/s12517-022-11050-0
Publikováno v:
Algerian Journal of Renewable Energy and Sustainable Development. 2:175-180
This work aims to create a decision support and geographic information system aimed at optimizing the management of forest capital in the Adrar region. Through this awareness, we question the place of geographic information in the dialogue process an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37e80b7c9bfa5bbbacae331318dcea67
https://doi.org/10.46657/ajresd.2020.2.2.10
https://doi.org/10.46657/ajresd.2020.2.2.10
Publikováno v:
Algerian Journal of Renewable Energy and Sustainable Development. 2:137-150
The present work aims at improving the performance of a glass solar still using different new absorbers (enameled sheet metal, blackened sponge, blackened gravel, clay, charcoal and quicklime) as sensible heat storage systems under the desert climati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b63f032b21da0264fa53be70d90250a3
https://doi.org/10.46657/ajresd.2020.2.2.6
https://doi.org/10.46657/ajresd.2020.2.2.6
Publikováno v:
Algerian Journal of Renewable Energy and Sustainable Development. :212-219
Global demand for energy is increasing rapidly and natural energy resources such as oil, gas and uranium are declining due to the widespread diffusion and development of the industry in recent years. To cover energy needs, research is being conducted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50c1f97ef7bf21925261083f1b204717
https://doi.org/10.46657/ajresd.2019.1.2.11
https://doi.org/10.46657/ajresd.2019.1.2.11
Publikováno v:
Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities ISBN: 9783030920371
The most integral aspect of optimizing solar energy applications is the assessment of solar radiation. Devises of solar energy will work better if the radiation that is to be obtained is measured long before. Solar radiation measurement models are cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d059226b728505bf9825e97323966129
https://doi.org/10.1007/978-3-030-92038-8_16
https://doi.org/10.1007/978-3-030-92038-8_16
Autor:
Djelloul Benatiallah, Kada Bouchouicha
Publikováno v:
2020 6th International Symposium on New and Renewable Energy (SIENR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58ead6fb6accd41a8ba2ee4ff57f0404
https://doi.org/10.1109/sienr50924.2021.9631924
https://doi.org/10.1109/sienr50924.2021.9631924
Publikováno v:
Artificial Intelligence and Renewables Towards an Energy Transition ISBN: 9783030638450
This study proposes a hybrid solar radiation prediction model combining a Numerical Weather Prediction (NWP) simulation and an Artificial Neural Networks model (ANN). Weather Research and Forecasting (WRF) model is used to simulate meteorological and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbd6da4770bf4e153f3a7d8301740704
https://doi.org/10.1007/978-3-030-63846-7_55
https://doi.org/10.1007/978-3-030-63846-7_55