Recent advances in decision trees: An updated survey

VG Costa, CE Pedreira - Artificial Intelligence Review, 2023 - Springer
Abstract Decision Trees (DTs) are predictive models in supervised learning, known not only
for their unquestionable utility in a wide range of applications but also for their interpretability …

Solar photovoltaic power forecasting: A review

KJ Iheanetu - Sustainability, 2022 - mdpi.com
The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …

Review and empirical analysis of sparrow search algorithm

Y Yue, L Cao, D Lu, Z Hu, M Xu, S Wang, B Li… - Artificial Intelligence …, 2023 - Springer
In recent years, swarm intelligence algorithms have received extensive attention and
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …

Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties

M Elsisi, MQ Tran, K Mahmoud, DEA Mansour… - Measurement, 2022 - Elsevier
The distribution of the power transformers at a far distance from the electrical plants
represents the main challenge against the diagnosis of the transformer status. This paper …

An efficient fuzzy-logic based variable-step incremental conductance MPPT method for grid-connected PV systems

MN Ali, K Mahmoud, M Lehtonen, MMF Darwish - Ieee Access, 2021 - ieeexplore.ieee.org
Recently, solar energy has been intensively employed in power systems, especially using
the photovoltaic (PV) generation units. In this regard, this paper proposes a novel design of …

Control and optimisation of power grids using smart meter data: A review

Z Chen, AM Amani, X Yu, M Jalili - Sensors, 2023 - mdpi.com
This paper provides a comprehensive review of the applications of smart meters in the
control and optimisation of power grids to support a smooth energy transition towards the …

Deep learning-based industry 4.0 and internet of things towards effective energy management for smart buildings

M Elsisi, MQ Tran, K Mahmoud, M Lehtonen… - Sensors, 2021 - mdpi.com
Worldwide, energy consumption and saving represent the main challenges for all sectors,
most importantly in industrial and domestic sectors. The internet of things (IoT) is a new …

Experimental setup for online fault diagnosis of induction machines via promising IoT and machine learning: Towards industry 4.0 empowerment

MQ Tran, M Elsisi, K Mahmoud, MK Liu… - IEEE …, 2021 - ieeexplore.ieee.org
In recent years, the internet of things (IoT) represents the main core of Industry 4.0 for cyber-
physic systems (CPS) in order to improve the industrial environment. Accordingly, the …

Promising MPPT methods combining metaheuristic, fuzzy-logic and ANN techniques for grid-connected photovoltaic

MN Ali, K Mahmoud, M Lehtonen, MMF Darwish - Sensors, 2021 - mdpi.com
This paper addresses the improvement of tracking of the maximum power point upon the
variations of the environmental conditions and hence improving photovoltaic efficiency …

Reliable deep learning and IoT-based monitoring system for secure computer numerical control machines against cyber-attacks with experimental verification

MQ Tran, M Elsisi, MK Liu, VQ Vu, K Mahmoud… - IEEE …, 2022 - ieeexplore.ieee.org
This paper introduces a new intelligent integration between an IoT platform and deep
learning neural network (DNN) algorithm for the online monitoring of computer numerical …