IEEE

Enhanced load forecasting utilizes Convolutional Neural Network and Deep Neural Networks

Abstract: Power is now an integral part of any country's social and economic infrastructure. Because energy is so difficult to store, accurate load forecasting is critical for control providers to ...
IEEE

Order-based Heterogeneous Agents Reinforcement Learning Method with the Coordination of Distribution Network and Transmission Network for Load Frequency Control

Abstract: With the continuous penetration of large-scale distributed energy resources (DERs) into the distribution network (DN), the DN has acquired the capability to participate in load frequency ...
Frontiers

Interleukin-10 as a potential biomarker reflecting the multidimensional pathological network in patients with severe fever with thrombocytopenia syndrome: viral load, cytokine ...

Background: Severe fever with thrombocytopenia syndrome (SFTS) is a highly fatal infectious disease, potentially driven by cytokine storms. This study evaluates plasma interleukin-10 (IL-10) as a ...