Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms
In the current world of the Internet of Things, cyberspace, mobile devices, businesses, social
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …
Evaluation of different optimization techniques and control strategies of hybrid microgrid: A review
Energy consumption is increasing rapidly; hence, the energy demand cannot be fulfilled
using traditional power resources only. Power systems based on renewable energy …
using traditional power resources only. Power systems based on renewable energy …
Prediction of energy production level in large pv plants through auto-encoder based neural-network (auto-nn) with restricted boltzmann feature extraction
G Ramesh, J Logeshwaran, T Kiruthiga, J Lloret - Future Internet, 2023 - mdpi.com
In general, reliable PV generation prediction is required to increase complete control quality
and avoid potential damage. Accurate forecasting of direct solar radiation trends in PV …
and avoid potential damage. Accurate forecasting of direct solar radiation trends in PV …
Development of a hybrid support vector machine with grey wolf optimization algorithm for detection of the solar power plants anomalies
Solar energy utilization in the industry has grown substantially, resulting in heightened
recognition of renewable energy sources from power plants and intelligent grid systems …
recognition of renewable energy sources from power plants and intelligent grid systems …
Assessment of machine and deep learning approaches for fault diagnosis in photovoltaic systems using infrared thermography
Nowadays, millions of photovoltaic (PV) plants are installed around the world. Given the
widespread use of PV supply systems and in order to keep these PV plants safe and to …
widespread use of PV supply systems and in order to keep these PV plants safe and to …
SolNet: a convolutional neural network for detecting dust on solar panels
Electricity production from photovoltaic (PV) systems has accelerated in the last few
decades. Numerous environmental factors, particularly the buildup of dust on PV panels …
decades. Numerous environmental factors, particularly the buildup of dust on PV panels …
Implementing a Digital Twin-based fault detection and diagnosis approach for optimal operation and maintenance of urban distributed solar photovoltaics
Over the next decades, solar energy power generation is anticipated to gain popularity
because of the current energy and climate problems and ultimately become a crucial part of …
because of the current energy and climate problems and ultimately become a crucial part of …
Artificial intelligence and mathematical models of power grids driven by renewable energy sources: A survey
To face the impact of climate change in all dimensions of our society in the near future, the
European Union (EU) has established an ambitious target. Until 2050, the share of …
European Union (EU) has established an ambitious target. Until 2050, the share of …
Evaluation factors of solar power plants to reduce cost under neutrosophic multi-criteria decision making model
M Abouhawwash, M Jameel - Sustainable Machine Intelligence …, 2023 - sciencesforce.com
Solar power facilities must be efficient, reliable, and sustainable to meet energy demands.
This study conducts a comprehensive analysis of criteria for evaluating solar power …
This study conducts a comprehensive analysis of criteria for evaluating solar power …
Isolation forest based anomaly detection and fault localization for solar PV system
S Kabir, A Shufian, MSR Zishan - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The decrease in fossil fuel reserves has prompted a global move toward distributed energy
resources. For this reason, solar PV power generation has recently gained much attention …
resources. For this reason, solar PV power generation has recently gained much attention …