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Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models
(
Elsevier
, 2023 , Article)
Accurately modeling and forecasting electricity consumption remains a challenging task due to the large number of the statistical properties that characterize this time series such as seasonality, trend, sudden changes, ...
GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning
(
Elsevier Ltd
, 2023 , Article)
Road traffic crashes pose a significant challenge worldwide, necessitating increased efforts to reduce them and promote sustainable transport systems. This study aimed to investigate spatiotemporal road traffic crashes and ...