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專利授權區
專利名稱(中) 使用多智能體遷移式強化學習的再生能源競價方法
專利名稱(英) METHOD FOR RENEWABLE ENERGY BIDDING USING MULTIAGENT TRANSFER REINFORCEMENT LEARNING
專利家族 中華民國:I779732
專利權人 國立清華大學 100%
發明人 邱偉育,邱崑晏
技術領域 通信傳輸,能源科技,資訊工程,電子電機
專利摘要(英)
A method for renewable energy bidding is provided. In the method, an actor network is created by using an actor state including a supply amount of each energy supplier and a total demand amount of multiple energy demanders as an input and using an electricity sale quotation of the energy supplier as an output. A critic network is created by using a critic state including the actor state, a next actor state and a reward obtained by adopting the electricity sale quotation as an input and using a value function as an output. Parameters of the critic network are updated through stochastic gradient descent to minimize a temporal difference error. Parameters of the actor network are updated through stochastic gradient ascent to maximize the reward accumulated by the energy supplier. The updated parameters of the actor network are transferred to a new energy supplier and the aforesaid updating steps are repeated to maximize the reward accumulated by the new energy supplier.
聯絡資訊
承辦人姓名 李曉琪
承辦人電話 03-5715131 #31061
承辦人Email hsiaochi@mx.nthu.edu.tw
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