Hybridization of hybrid structures for time series forecasting: A review

Z Hajirahimi, M Khashei - Artificial Intelligence Review, 2023 - Springer
Achieving the desired accuracy in time series forecasting has become a binding domain,
and developing a forecasting framework with a high degree of accuracy is one of the most …

Design and prototyping of GSM-bluetooth based solar energy remote monitoring system

A Kerem, A Yazgan - … -The international journal for computation and …, 2022 - emerald.com
Purpose The purpose of this study is to monitor the surface cooling of the photovoltaic (PV)
panel and the effect of the dust accumulated on the panel surface on the electrical efficiency …

Design, implementation and speed estimation of three-phase 2 kW out-runner permanent magnet BLDC motor for ultralight electric vehicles

A Kerem - Electrical Engineering, 2021 - Springer
Brushless DC motor has specifications such as high efficiency, high startup moment and
silent running. Thanks to its low inertia, high torque/size and power/size ratio, it can be used …

A green energy research: forecasting of wind power for a cleaner environment using robust hybrid metaheuristic model

A Kerem, A Saygin, R Rahmani - Environmental Science and Pollution …, 2021 - Springer
Wind is a stochastic and intermittent renewable energy source. Due to its nature, it is
extremely hard to forecast wind power. Accurate wind power forecasting can be …

Forecasting Renewable Energy Generation: A Predictive Modelling Approach

P Mondal, A Bhatia, R Panjwani… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
India's rapid urbanization demands innovative solutions to address energy consumption
patterns while reducing reliance on fossil fuels. This research paper explores the application …

Hybrid Techniques for Renewable Energy Prediction

GS Martins, M Giesbrecht - … for Renewable Energy Generation and Load …, 2023 - Springer
Due to the urgent climate change challenge and the increase in electric energy demand
caused by the electrification of the transport system, renewable sources of power, such as …

Enhancing the Convergence Speed and Accuracy of Particle Swarm Optimizers through Adaptive Learning

S Lavate, AA Joshi, TS Shinde - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Particle swarm optimization (PSO) comes from a family of swarm optimization techniques
that work iteratively to obtain an optimum solution for single or multi objective systems. For …