Results 51 to 60 of about 3,893,814 (155)

A Grasshopper Optimization–Driven Smart Energy Management Framework for Renewable–EV–Storage Integrated Grids to Maximize Real‐Time Trading Revenue Under Weather Variability

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This paper presents a grasshopper optimization algorithm (GOA)‐based smart energy management framework for residential systems integrating photovoltaic generation, wind power, battery energy storage and electric vehicles under stochastic weather conditions.
H. S. Gowtham, V. Diventhiran, T. Yuvaraj, Wesley Jeevadason Aruldoss, Mohit Bajaj, Vojtech Blazek, Olena Rubanenko   +6 more
wiley   +1 more source

A Symbolic Noise Analysis Approach to Word-Length Optimization in DSP Hardware [PDF]

, 2007
This paper addresses the problem of choosing different word-lengths for each functional unit in fixed-point implementations of DSP algorithms. A symbolic-noise analysis method is introduced for high-level synthesis of DSP algorithms in digital hardware ...
Ahmadi, Arash, Zwolinski, Mark, Arash Ahmadi, Mark Zwolinski   +3 more
core   +2 more sources

Multi-objective scheduling of IoT-enabled smart homes for energy management based on Arithmetic Optimization Algorithm: A Node-RED and NodeMCU module-based technique

, 2022
The home energy management system (HEMS) based on advanced internet of things (IoT) technology has attracted the special attention of engineers in the field of smart grid (SG), which has the task of the demand side management (DSM) and helps to control ...
Bahmanyar, Danial, Razmjooy, Navid, Mirjalili, Seyedali   +2 more
core   +1 more source

Lung Disease Detection Using Hybrid CNN‐XGBoost Classifier With New Loss Function

IET Software, Volume 2026, Issue 1, 2026.
Lung disease is one of the fatal and common illnesses, affecting many people each year through various forms such as asthma, pneumonia, and lung obstruction. Numerous diagnostic methods have been proposed, most of which rely on machine learning algorithms or simple convolutional neural networks (CNNs) that often lack sufficient accuracy.
Bahman Jafari Tabaghsar, Yahya Forghani, Reza Sheibani, Reza Tavoli, Manuel Angel Serrano   +4 more
wiley   +1 more source

Artificial Intelligence in Bidirectional Energy Management: A Critical Review of Control Strategies for V2G and G2V Systems

IET Smart Grid, Volume 9, Issue 1, January/December 2026.
Role of AI/ML‐based controllers in V2G and G2V integration. ABSTRACT The growing adoption of electric vehicles (EVs) and renewable energy sources has accelerated the need for intelligent bidirectional energy management systems. Vehicle‐to‐Grid (V2G) and Grid‐to‐Vehicle (G2V) technologies offer promising solutions to enhance grid stability, optimise ...
Gajendra Singh Chawda, Shivanshu Shekhar, Guilherme Vieira Hollweg, Wencong Su, Mengqi Wang, Mandoye Ndoye, Ben Oni   +6 more
wiley   +1 more source

A Survey on Spiking Neural Networks for Modern Power Systems: Models, Applications and Challenges

IET Smart Grid, Volume 9, Issue 1, January/December 2026.
The present survey is unique in the following aspects: Critically analyses the SNN from fundamental aspects. Unifies the literature across different power system subdomains (e.g., stability, forecasting, protection and microgrid control). Integrates bio‐inspired optimisation and neuromorphic computing perspectives.
Amitkumar V. Jha, Deepak Kumar Gupta, Bhargav Appasani, Wriddhi Bhowmik, Mahendra Kumar Gourisaria, Sunil Kumar Mishra, Avireni Srinivasulu, Philibert Nsengiyumva   +7 more
wiley   +1 more source

Enhanced arithmetic optimization algorithm for K-means-based breast MRI segmentation

Array
K-means clustering is a common method for unsupervised learning and is useful for image segmentation. However, it is sensitive to how the cluster center is set up, does not handle outliers well, and does not always work well on complex or high ...
Preeti, Kusum Deep, Seyedali Mirjalili
doaj   +1 more source

A Novel Evolutionary Algorithm Inspired by Internet Worm Propagation Dynamics and Replication

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
A novel metaheuristic algorithm named worm optimization algorithm (WormOA) is introduced. WormOA is embedded in an evolutionary search framework that models the behavior of internet worms when they attack computer systems. The algorithm employs a frame‐shifting technique to enable worm replication.
Sedighe Mansouri, Soodeh Hosseini, Pramita Mishra   +2 more
wiley   +1 more source

Optimal Allocation of Distributed Generations and Capacitor Banks in Distribution Systems Using Arithmetic Optimization Algorithm

Applied Sciences
In this paper, an optimization approach based on an arithmetic optimization algorithm (AOA) is proposed for specifying the optimal allocation of distribution generations/generators (DGs) and capacitor banks (CBs) in radial distribution systems.
Nihat Pamuk, Umut Emre Uzun
doaj   +1 more source

Sizing and Energy Management of Parking Lots of Electric Vehicles Based on Battery Storage with Wind Resources in Distribution Network

Energies, 2021
In this paper, an optimal sizing and placement framework (OSPF) is performed for electric parking lots integrated with wind turbines in a 33-bus distribution network. The total objective function is defined as minimizing the total cost including the cost
Saman Shahrokhi, Adel El-Shahat, Fatemeh Masoudinia, Foad H. Gandoman, Shady H. E. Abdel Aleem   +4 more
doaj   +1 more source