Probabilistic long-term forecasting of solar irradiance under climate change using deep learning and Monte Carlo simulations

While traditional forecasting models assume a stationary climate, the accelerating impact of climate change in arid zones like Southern Tunisia has introduced significant non-stationarity and variance in Global Horizontal Irradiance (GHI). The objective of this study is not to simulate specific IPCC...

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Auteurs principaux:	Khaoula Saidani, Nejla Essaddi, Mongi Besbes
Format:	Artigo
Langue:	Inglês
Publié:	Elsevier 2026-05-01
Collection:	Energy Strategy Reviews
Sujets:	Hybrid informer-LSTM model. Monte Carlo simulation. Climate changes scenarios. Long term resilient forecasting
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S2211467X26001422
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