This study investigates the application of Reinforcement Learning (RL) to optimize intraday operations of hydropower reservoirs.Unlike previous approaches that focus on long-term planning with coarse temporal resolutions and discretized state-action spaces, we propose an RL framework tailored to the Hydropower Reservoirs Intraday Economic Optimizat
This paper examines the use of technology in warfare, from the Great War, with its use of artillery, to the War on Terror, with its breakthrough in air and drone power.The use of drones, due to their alleged precision, was meant to be ethical and legal.Strategic bombardment, it was claimed, could win wars.It would also cement the American here clai
A Colombian region called “departamento del Meta” has an outstanding agricultural tradition regarding products such as oil palm, rice, fruit, banana, and others.In the multiple production processes associated to agricultural activities, heterogeneous waste is generated.Biomass, in particular, represents a problem from an environmental point of
Abstract This paper delves into the theoretical and practical exploration of the complementary Bell Weibull (CBellW) model, which serves as an analogous counterpart to the complementary Poisson Weibull model.The study encompasses a comprehensive examination of various statistical properties of the CBellW model.Real data applications are carried out
Summary: The expeditious development of information technology has led to the rise of artificial intelligence (AI).However, conventional computing systems are prone to volatility, high power consumption, and even delay between the processor and memory, which is referred to as the von Neumann bottleneck, in implementing AI.To silver lining herbs kid