A proposed framework for supplier selection and order allocation using machine learning clustering and optimization techniques
The process of selecting the most suitable suppliers and allocating orders to them is critical
in supply chain management. This research proposes a new framework to address the …
in supply chain management. This research proposes a new framework to address the …
A street lighting based on solar energy: optimization of a neural network for the productivity evaluation in different climate conditions
E Belloni, A Massaccesi, C Moscatiello… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
This paper describes a stand-alone public solar street lighting system powered by
photovoltaic (PV) cells with energy storage battery and an LED consumer installed along a …
photovoltaic (PV) cells with energy storage battery and an LED consumer installed along a …
[PDF][PDF] Fuzzy C-means clustering based on micro-spatial analysis for electricity load profile characterization
As the rising of electricity demand, electricity load profile characterization (ELPC) is the
integral aspect in planning, operating system, and distribution network development. The …
integral aspect in planning, operating system, and distribution network development. The …
Characterization of electric consumers through an automated clustering pipeline
F Soldan, A Maldarella, G Paludetto… - … on Environment and …, 2022 - ieeexplore.ieee.org
Clustering analysis of daily load profiles represents an effective technique to classify and
aggregate electric users based on their actual consumption patterns. Among other …
aggregate electric users based on their actual consumption patterns. Among other …
Improved Fuzzy Possibilistic C-Means using Artificial Bee Colony for Clustering New Student's Financial Capability to Determine Tuition Level
Outliers in the dataset will affect the quality of the cluster, so a good clustering method is
needed. Based on the Mahalanobis distance method, it is known that the research dataset …
needed. Based on the Mahalanobis distance method, it is known that the research dataset …
Performance Comparison of Dimensional Reduction using Principal Component Analysis with Alternating Least Squares in Modified Fuzzy Possibilistic C-Means and …
The clustering method is said to be good if it has resistance to outlier data. One cluster
method resistant to outlier data is Fuzzy Possibilistic C-Means (FPCM). FPCM performance …
method resistant to outlier data is Fuzzy Possibilistic C-Means (FPCM). FPCM performance …
Particle Swarm Optimization for the Sizing of a Battery and Hydrogen Storage System for Residential Buildings
The continuing growth of renewable energy sources plays an important role in the
decarbonization of the power system. However, it poses significant issues to the stability and …
decarbonization of the power system. However, it poses significant issues to the stability and …