Analysis of Risk Characterization and Identification Techniques for Electricity Spot Settlement Based on Multilayer Perceptron Machine
In this paper, the structural characteristics of the perceptron neural network and the calculation method of the hierarchical relationship of the MLP neural network model are first studied. Then the aspects of two-part settlement, generation-side settlement, and customer-side settlement in the elect...
Main Authors: | Duan Ruiqin, Zhu Xinchun, Liu Shuangquan, Li Xiufeng, Shao Qizhuan, Wu Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2024-01-01
|
Series: | Applied Mathematics and Nonlinear Sciences |
Subjects: | |
Online Access: | https://doi.org/10.2478/amns-2024-0311 |
Similar Items
-
Analysis of congestion cost settlement mechanisms in electricity spot market
by: WANG Zhengfeng, et al.
Published: (2024-01-01) -
Multi-interval settlement system of rolling-horizon scheduling for electricity spot market
by: Qian Feng, et al.
Published: (2023-04-01) -
Attention Multilayer Perceptron Fusion Network
by: Yuhua Wang, et al.
Published: (2023-01-01) -
Forecasting Pneumonia Toddler Mortality Using Comparative Model ARIMA and Multilayer Perceptron
by: Ni Kadek Ary Indah Suryani, et al.
Published: (2022-08-01) -
Multilayer Perceptron untuk Prediksi Sessions pada Sebuah Website Journal Elektronik
by: Aji Prasetya Wibawa, et al.
Published: (2020-12-01)