摘要
<div style="text-align:justify;"> In the multi-objective of intelligent building load scheduling, aiming at the problem of how to select Pareto frontier scheme for multi-objective optimization algorithm, the current optimal scheme mechanism combined with multi-objective multi-verse algorithm is used to optimize the intelligent building load scheduling. The update mechanism is changed in updating the position of the universe, and the process of correction coding is omitted in the iterative process of the algorithm, which reduces the com-putational complexity. The feasibility and effectiveness of the proposed method are verified by the optimal scheduling experiments of residential loads. </div>
<div style="text-align:justify;"> In the multi-objective of intelligent building load scheduling, aiming at the problem of how to select Pareto frontier scheme for multi-objective optimization algorithm, the current optimal scheme mechanism combined with multi-objective multi-verse algorithm is used to optimize the intelligent building load scheduling. The update mechanism is changed in updating the position of the universe, and the process of correction coding is omitted in the iterative process of the algorithm, which reduces the com-putational complexity. The feasibility and effectiveness of the proposed method are verified by the optimal scheduling experiments of residential loads. </div>
作者
Jiangyong Liu
Jiankang Liu
Lv Fan
Lingzhi Yi
Huina Song
Qingna Zeng
Jiangyong Liu;Jiankang Liu;Lv Fan;Lingzhi Yi;Huina Song;Qingna Zeng(College of Information Engineering & Hunan Province Engineering Research Center for Multi-Energy Collaborative Control Technology, Xiangtan University, Xiangtan, China;Willfar Information Technologies Co. Ltd., Changsha, China;Lianhu Town Central Health Center, Chongqing, China)
