[HTML][HTML] Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques

M Saleem, S Abbas, TM Ghazal, MA Khan… - Egyptian Informatics …, 2022 - Elsevier
Smart cities have been developed over the past decade, and reducing traffic congestion has
been the top concern in smart city development. Short delays in communication between …

Fusion-based supply chain collaboration using machine learning techniques

TM Ghazal, HM Alzoubi - … & Soft Computing, 2022 - research.skylineuniversity.ac.ae
Supply Chain Collaboration is the network of various entities that work cohesively to make
up the entire process. The supply chain organizations' success is dependent on integration …

[HTML][HTML] Power distribution system planning framework (A comprehensive review)

R Dashti, M Rouhandeh - Energy strategy reviews, 2023 - Elsevier
In this paper, we present a comprehensive and innovative framework for optimizing planning
in power distribution systems. Firstly, we introduce various types of planning involved in …

Profit maximization of retailers with intermittent renewable sources and energy storage systems in deregulated electricity market with modern optimization techniques …

N Chakraborty, NBD Choudhury, PK Tiwari - Renewable Energy Focus, 2023 - Elsevier
The impact of integrating hybrid (wind and solar) renewable energy sources with energy
storage devices in Micro-grid (MG) operations under the deregulated electricity market is …

Optimal allocation of renewable distributed generations using heuristic methods to minimize annual energy losses and voltage deviation index

M Purlu, BE Turkay - IEEE Access, 2022 - ieeexplore.ieee.org
In this paper, two metaheuristic methods, genetic algorithm and particle swarm optimization,
are proposed to determine the optimal locations, sizes, and power factors of single and …

[PDF][PDF] Smart energy management system using machine learning

A Akram, S Abbas, M Khan, A Athar… - … , Materials & Continua, 2024 - researchgate.net
Energy management is an inspiring domain in develo** of renewable energy sources.
However, the growth of decentralized energy production is revealing an increased …

Multi-objective optimal siting and sizing of distributed generators and shunt capacitors considering the effect of voltage-dependent nonlinear load models

A Ali, G Abbas, MU Keerio, S Mirsaeidi, S Alshahr… - IEEE …, 2023 - ieeexplore.ieee.org
Load modeling is essential to distribution system analysis, planning, and control. Therefore,
in this work, effect of non-linear load models has been considered for the optimal site and …

Boosting prairie dog optimizer for optimal planning of multiple wind turbine and photovoltaic distributed generators in distribution networks considering different …

MA Elseify, FA Hashim, AG Hussien… - Scientific Reports, 2024 - nature.com
Deploying distributed generators (DGs) supplied by renewable energy resources poses a
significant challenge for efficient power grid operation. The proper sizing and placement of …

[HTML][HTML] An improved hybrid approach for the simultaneous allocation of distributed generators and time varying loads in distribution systems

A Ahmed, MF Nadeem, AT Kiani, N Ullah, MA Khan… - Energy Reports, 2023 - Elsevier
Distributed Generation (DG) studies are generally conducted considering a single type of
DG units integrated with the Distribution System (DS). However, these studies may not …

Techno-economic and environmental assessments of optimal planning of waste-to-energy based CHP-DG considering load growth on a power distribution network

MA Alao, OM Popoola - Heliyon, 2024 - cell.com
Load growth puts pressure on existing electric infrastructure and impacts on the system's
performance parameters which may necessitate network expansion. Conventionally, electric …