Titlebook: Deep Learning for Power System Applications; Case Studies Linking Fangxing Li,Yan Du Book 2024 The Editor(s) (if applicable) and The Author

出汗

Desistance from Sexual Offendingons in the area of power systems are also discussed to provide the readers with a general perception of the potential of deep learning in solving complicated real-world problems, both theoretically and practically.

兵團(tuán)

Palgrave Studies in Risk, Crime and Societyforcement learning (RL) techniques. In the studied problem, multiple microgrids are connected to a main distribution system, and they purchase power from the distribution system to maintain local consumption. From the perspective of the distribution system operator (DSO), the target is to decrease t

FOIL

Desistance from Sexual Offendingosed method is a combination of a deep convolutional neural network (CNN) and a depth-first search (DFS) algorithm. First, deep CNN is constructed as a security assessment tool to evaluate the system security status based on observable information. Second, a scenario tree is built to represent the p

Commodious

反話

碎石

acquisition

Minuet

Summary and Future Works,This chapter gives a brief summary of the research works from Chaps. ., ., . and also discusses the potential future directions for applying deep learning in the field of power systems, including the most up-to-date deep learning techniques such as physics-informed deep learning, transfer learning, and meta-learning.

彎曲道理

倒轉(zhuǎn)