Deterioration of Electrical Load Forecasting Models in a Smart Grid Environment
Smart Grid (S.G.) is a digitally enabled power grid with an automatic capability to control electricity and information between utility and consumer. S.G. data streams are heterogenous and possess a dynamic environment, whereas the existing machine learning methods are static and stand obsolete in s...
Main Authors: | Abdul Azeem, Idris Ismail, Syed Muslim Jameel, Fakhizan Romlie, Kamaluddeen Usman Danyaro, Saurabh Shukla |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/12/4363 |
Similar Items
-
An Insight of Deep Learning Based Demand Forecasting in Smart Grids
by: Javier Manuel Aguiar-Pérez, et al.
Published: (2023-01-01) -
Methods and Models for Electric Load Forecasting: A Comprehensive Review
by: Hammad Mahmoud A., et al.
Published: (2020-02-01) -
An EOQ Model for Temperature-Sensitive Deteriorating Items in Cold Chain Operations
by: Ming-Fang Yang, et al.
Published: (2024-03-01) -
SIMULTANEOUS PRICING AND LOT SIZING FOR A DETERIORATING PROCESS
by: Hari Prasetyo, et al.
Published: (2006-08-01) -
Optimized Multi-Level Multi-Type Ensemble (OMME) Forecasting Model for Univariate Time Series
by: Mehak Usmani, et al.
Published: (2024-01-01)