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Smart energy networks provide an effective means to accommodate high penetrations of variable renewable energy sources like solar and wind, which are key for the deep decarbonisation of energy production. However, given the variability of the renewables as well as the energy demand, it is imperative to develop effective control and energy storage schemes to manage the variable energy generation and achieve desired system economics and environmental goals. In this paper, we introduce a hybrid energy storage system composed of battery and hydrogen energy storage to handle the uncertainties related to electricity prices, renewable energy production, and consumption. We aim to improve renewable energy utilisation and minimise energy costs and carbon emissions while ensuring energy reliability and stability within the network. To achieve this, we propose a multi-agent deep deterministic policy gradient approach, which is a deep reinforcement learning-based control strategy to optimise the s ....
As America grows fatter, scientists continue to debate the causes of the obesity crisis, while the founder of Children’s Hospital’s weight clinic says the predominant “cut calories” approach may have the problem backward. ....
A landmark paper proves that obesity is not just energy in and out; the type of food matters. And while one study shows we’re eating more processed food, another reveals what can be gained if we clean up our act. ....
The columnist uncovers some interesting facts about human metabolism, including the fact that from ages 20 to 60, there is no significant decline in metabolic rates. ....