IEEE

Adaptive Reinforcement Learning Framework for Optimized Energy Management in Hybrid Electric Vehicles Using Synthetic Driving Environments and Open-Source Simulation Models

Abstract: Conventional heuristic approaches are sometimes used to model energy management strategies for HEVs, especially for Rule-Based car models, but RL is the solution that presents a shift in ...

Hikvision Obtains Invention Patent Authorization: 'Neural Network Model Deployment Method, System, Device, and Storage Medium'

According to a report from Securities Star and data from the Tianyancha APP, Hikvision (002415) has recently obtained authorization for an invention patent titled 'Neural Network Model Deployment ...
IEEE

Adaptive Heuristic Method Based on Reduced Costs and Physical Characteristics of Power Grid

Abstract: In order to improve the efficiency of solving unit commitment problems, an adaptive heuristic method based on reduced costs and physical characteristics of the power grid is proposed to ...
Windtech International

Latoda and Fraunhofer IWES develop AI method for wind turbine performance

Fraunhofer Institute for Wind Energy Systems (IWES) and AI company Latoda are working together in the "WindKI" research project to develop a diagnostic method that detects performance losses in wind ...
Informationsdienst Wissenschaft

Optimizing the performance potential of wind turbines: LATODA and Fraunhofer IWES develop AI analysis method

In the "WindKI" research project, the Fraunhofer Institute for Wind Energy Systems IWES and the AI company LATODA are developing a new method that detects performance losses in wind turbines at an ...