Accurate and effective forecasting of short-term global solar radiation is critical for the
development of photovoltaic systems, particularly for integration into existing grid systems …

An electronic nose, designed to replicate human olfaction, captures distinctive
'fingerprint'data from mixed gases or odors. Comprising a gas sensing system and an …

This paper present the experimental study of the pilot photovoltaic plant installed in the
desert environment in the region of Ghardaia (32.26 N°, 03.46 E°) per season and per sky …

Precise estimation of solar radiation is a highly required parameter for the design and
assessment of solar energy applications. Over the past years, many machine learning …

The increase in electricity demand requires improved energy planning programs, which
involve better energy distribution. Therefore, precise energy demand forecasting is of great …

The diffuse component (Rd) of solar radiation (Rs) has a fertilizing impact on vegetation
photosynthesis and therefore influences terrestrial carbon sinks and the water cycle …

This work presents a comparative study between different machine learning techniques for
solar radiation components assessment. The developed models are evaluated using a valid …

Daily solar radiation forecasting has recently become critical in developing solar energy and
its integration into grid systems. Despite the huge number of proposed forecasting …

Dans cette recherche intitulée" analyse comparative de l'effet de trois méthodes de
décomposition des données sur la prévision de l'énergie photovoltaïque à la station de …

L'intelligence artificielle joue un rôle important dans le secteur de l'énergie, comme l'analyse
des données, la prévision de la demande d'énergie, l'amélioration de l'efficacité énergétique …