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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
This paper addresses the improvement of tracking of the maximum power point upon the
variations of the environmental conditions and hence improving photovoltaic efficiency …
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
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 …
learning neural network (DNN) algorithm for the online monitoring of computer numerical …