A Review on Sustainable Energy Sources Using Machine Learning and Deep Learning Models
A Bhansali, N Narasimhulu, R Pérez de Prado… - Energies, 2023 - mdpi.com
Today, methodologies based on learning models are utilized to generate precise conversion
techniques for renewable sources. The methods based on Computational Intelligence (CI) …
techniques for renewable sources. The methods based on Computational Intelligence (CI) …
Wind turbine technology trends
The rise in prices of traditional energy sources, the high dependence of many countries on
their import, and the associated need for security of supply have led to large investments in …
their import, and the associated need for security of supply have led to large investments in …
Improved metaheuristic-driven energy-aware cluster-based routing scheme for IoT-assisted wireless sensor networks
The Internet of Things (IoT) is a network of numerous devices that are consistent with one
another via the internet. Wireless sensor networks (WSN) play an integral part in the IoT …
another via the internet. Wireless sensor networks (WSN) play an integral part in the IoT …
African vulture optimization algorithm-based PI controllers for performance enhancement of hybrid renewable-energy systems
An effective maximum power point tracking (MPPT) technique plays a crucial role in
improving the efficiency and performance of grid-connected renewable energy sources …
improving the efficiency and performance of grid-connected renewable energy sources …
Load frequency control and automatic voltage regulation in a multi-area interconnected power system using nature-inspired computation-based control methodology
The stability control of nominal frequency and terminal voltage in an interconnected power
system (IPS) is always a challenging task for researchers. The load variation or any …
system (IPS) is always a challenging task for researchers. The load variation or any …
Novel knacks of chaotic maps with Archimedes optimization paradigm for nonlinear ARX model identification with key term separation
Archimedes' optimization algorithm (AOA) is a recently proposed physics-based optimization
algorithm inspired by Archimedes' Principle. However, for optimization of complex …
algorithm inspired by Archimedes' Principle. However, for optimization of complex …
[HTML][HTML] Novel hybrid of AOA-BSA with double adaptive and random spare for global optimization and engineering problems
Abstract Archimedes Optimization Algorithm (AOA) is a new physics-based optimizer that
simulates Archimedes principles. AOA has been used in a variety of real-world applications …
simulates Archimedes principles. AOA has been used in a variety of real-world applications …
[HTML][HTML] Prediction of soil cation exchange capacity using enhanced machine learning approaches in the southern region of the Caspian Sea
Cation exchange capacity (CEC) has a key role in soil studies such as agriculture, energy
balance, characteristics of the soil for food, maintaining water in the soil as well as soil …
balance, characteristics of the soil for food, maintaining water in the soil as well as soil …
Optimal allocation of solar photovoltaic distributed generation in electrical distribution networks using Archimedes optimization algorithm
V Janamala, K Radha Rani - Clean Energy, 2022 - academic.oup.com
This paper proposes to resolve optimal solar photovoltaic (SPV) system locations and sizes
in electrical distribution networks using a novel Archimedes optimization algorithm (AOA) …
in electrical distribution networks using a novel Archimedes optimization algorithm (AOA) …
Estimate-at-completion (EAC) prediction using Archimedes optimization with adaptive fuzzy and neural networks
Construction companies estimate project costs at the beginning of the project; however,
many factors impact the final project cost. Estimate at Completion (EAC) is a critical …
many factors impact the final project cost. Estimate at Completion (EAC) is a critical …