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 …
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 …
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 …
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 …
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
The Adaptative neuro-fuzzy inference system (ANFIS) has shown great potential in
processing practical data from control, prediction, and inference applications, reflecting …
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 …
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
In recent years, extensive and expensive research has been conducted on solar energy
systems. Studying and investigating solar panel output requires considerable experimental …
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 …
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 …
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 …
process is highly volatile and subject to a variety of factors. Characterizing this volatility is a …