Smart Grid Stability Prediction Model Using Neural Networks to Handle Missing Inputs
A smart grid is a modern electricity system enabling a bidirectional flow of communication that works on the notion of demand response. The stability prediction of the smart grid becomes necessary to make it more reliable and improve the efficiency and consistency of the electrical supply. Due to se...
Main Authors: | Madiah Binti Omar, Rosdiazli Ibrahim, Rhea Mantri, Jhanavi Chaudhary, Kaushik Ram Selvaraj, Kishore Bingi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/12/4342 |
Similar Items
-
A Novel Hybrid Harris Hawk-Arithmetic Optimization Algorithm for Industrial Wireless Mesh Networks
by: P. Arun Mozhi Devan, et al.
Published: (2023-07-01) -
Dynamic Effect of Input-Voltage Feedforward in Three-Phase Grid-Forming Inverters
by: Matias Berg, et al.
Published: (2020-06-01) -
A Feedforward Control-Based Power Decoupling Strategy for Grid-Forming Grid-Connected Inverters
by: Baojin Liu, et al.
Published: (2024-01-01) -
Machine Learning in Operating of Low Voltage Future Grid
by: Bartłomiej Mroczek, et al.
Published: (2022-07-01) -
A Neural Network-Based Model for Predicting Saybolt Color of Petroleum Products
by: Nurliana Farhana Salehuddin, et al.
Published: (2022-04-01)