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In this paper, we propose a novel nonlinear approach to solve the short-term hydro scheduling problem under deregulation, considering head-dependency. The actual size of hydro systems, the continuous reservoir dynamics and constraints, the hydraulic coupling of cascaded hydro systems, and the complexity associated with head-sensitive hydroelectric power generation still pose a real challenge to the modelers. These concerns are all accounted for in our approach. Results from a case study based on one of the main Portuguese cascaded hydro systems are presented, showing that the proposed nonlinear approach is proficient. [ABSTRACT FROM AUTHOR]

The article offers information about the 50th anniversary of Artificial Intelligence (AI), celebrated by the Institute of Engineering at Polytechnic of Porto in Portugal. One of the major highlights in the event was the opening of the "Artificial Intelligence: 50 Years" exhibition, which features interactive activities. It was participated by around 130 researchers. The exhibition aims to motivate visitors to explore AI's history, technologies, and applications. Portugal's pioneering father of AI, Luís Moniz Pereira, has given a speech relevant to the future of AI.