山东大学教师主页 Lu Tianguang Energy systems capacity planning under high renewable penetration considering concentrating solar power Home

Personal Information

Degree:Doctoral Degree in Engineering
Status:Employed
School/Department:电气工程学院

Gender:Male

Education Level:Postgraduate (Doctoral)

Alma Mater:上海交通大学

Current position: Home / Scientific Research / Paper Publications

Incentive-based demand response optimization method based on federated learning with a focus on user privacy protection

Release Time:2025-01-07 | Hits:

Institution:电气工程学院

Title of Paper:Incentive-based demand response optimization method based on federated learning with a focus on user privacy protection

Journal:Applied energy

First Author:程浩源

Document Code:1AE1654466D74D93A20CC96E35119E9E

Issue:Volume358

Translation or Not:No

Date of Publication:2024-03