Contingency theory origins and key contributors Contingency theory emerged in the 1960s through the work of several influential organizational researchers who challenged the notion of universal ...

Abstract: In this study, a machine learning model for contingency classification of an energy system was developed. A greater cost reduction can be achieved from the huge amount of data extracted from ...

Dimensional modelling is one of many data modelling techniques that are used by data practitioners to organize and present data for analytics. Other data modelling techniques include Data Vault (DV), ...

WGAST (Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion) is a novel deep learning framework for spatio-temporal fusion of satellite ...