Fuzzy Models for Short Term Power Forecasting in Palestine
Short-Term Load Forecasting (STLF) is needed to efficiently manage the power systems. In this paper, two kinds of models that depend on the Fuzzy based techniques are developed to represent the STLF models in Palestine. Different types of these models have been developed using the available data se...
Saved in:
Main Author: | Raed Basbous |
---|---|
Format: | Article |
Language: | English |
Published: |
Qubahan
2023-11-01
|
Series: | Qubahan Academic Journal |
Subjects: | |
Online Access: | https://journal.qubahan.com/index.php/qaj/article/view/268 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
AI-Driven Predictions of Mathematical Problem-Solving Beliefs: Fuzzy Logic, Adaptive Neuro-Fuzzy Inference Systems, and Artificial Neural Networks
by: Seda Göktepe Körpeoğlu, et al.
Published: (2025-01-01) -
Estimation of Fuzzy Regression Parameters With ANFIS and Bayesian Methods
by: M. Pakdel, et al.
Published: (2025-01-01) -
Chebyshev Weighted Type Integral Inequality in Fuzzy and Abstract Spaces
by: Bayaz Daraby, et al.
Published: (2024-10-01) -
Harris Harks Optimization Based Clustering With Fuzzy Routing for Lifetime Enhancing in Wireless Sensor Networks
by: Di Jing
Published: (2024-01-01) -
Different Meta-Heuristic Optimized Radial Basis Function Neural Network Models for Short-Term Power Consumption Forecasting
by: Dhivagar Shanmugam, et al.
Published: (2024-06-01)