Economic dispatch optimization strategies and problem formulation: A comprehensive review

F Marzbani, A Abdelfatah - Energies, 2024 - mdpi.com
Economic Dispatch Problems (EDP) refer to the process of determining the power output of
generation units such that the electricity demand of the system is satisfied at a minimum cost …

Applying a Higher Number of Output Membership Functions to Enhance the Precision of a Fuzzy System

A Nadeem, AA Rizvi, MY Noor - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The fuzzy logic system (FLS) for real-world issues depends on the shape and number of the
fuzzy membership functions (MFs), usually defined based on the relevant expert's subjective …

A Global Solar Radiation Forecasting System Using Combined Supervised and Unsupervised Learning Models

CC Wei, YC Yang - Energies, 2023 - mdpi.com
One of the most important sources of energy is the sun. Taiwan is located at a 22–25° north
latitude. Due to its proximity to the equator, it experiences only a small angle of sunlight …

Determining the Availability of Continuous Systems in Open Pits Using ANFIS and a Simulation Model

M Gomilanovic, U Bugaric, M Bankovic, N Stanic… - Energies, 2024 - mdpi.com
This paper presents a model for determining the availability of continuous systems at open
pits using the neuro-fuzzy system. The concept of availability is divided into partial indicators …

Scikit-ANFIS: A Scikit-Learn Compatible Python Implementation for Adaptive Neuro-Fuzzy Inference System

D Zhang, T Chen - International Journal of Fuzzy Systems, 2024 - Springer
The Adaptative neuro-fuzzy inference system (ANFIS) has shown great potential in
processing practical data from control, prediction, and inference applications, reflecting …

[PDF][PDF] Predicting Solar Power Generation Utilized in Iraq Power Grid Using Neural Network

SM Radhi, S Al-Majidi, M Abbod… - Misan Journal of …, 2024 - iasj.net
The prediction of a photovoltaic (PV) energy production over time is considered the major
challenge to integrate it with the utilized grid. This is because it is affected by many factors …

Enhancing Photovoltaic System Performance Prediction: A Synergistic Approach with Fuzzy Logic and Response Surface Methodology

M Al Hazza, H Attia, K Hossin - Journal of Renewable Energy and …, 2024 - jree.ir
In recent years, extensive and expensive research has been conducted on solar energy
systems. Studying and investigating solar panel output requires considerable experimental …

Discharge Time Prediction of the Primary Battery Test Output using Modified Adaptive Neuro Fuzzy Inference System (ANFIS)

R Naibaho, E Joelianto, B Rahmat… - International Journal on …, 2024 - search.proquest.com
The long-time test of battery discharge time is the main problem for implementing the
performance requirements of the Standard IEC 60086. Prediction of battery discharge time …

A Forecasting Global Solar Radiation System Using Combined Supervised-and Unsupervised-learning Models

CC Wei, YC Yang - 2023 - preprints.org
One of the most important sources of energy is the sun. Taiwan is located at north 22-25
latitude. Due to its proximity to the equator, it experiences only a small angle of sunlight …

Genetic Taboo Search Algorithm Optimized TCN-LSTM for Ultra-short-term Photovoltaic Power Prediction

H Wang, H Zhang, G Li, Z Yin… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Solar energy is converted into electricity through photovoltaic power generation. This
process is highly volatile and subject to a variety of factors. Characterizing this volatility is a …