VoltaVistaMan: Energy Dynamics Intelligent Predictive Analysis Utilizing Bayesian Hyper-Tuned Neural Networks – A Case Study on Switzerland's National Electricity Demand DOI
Ashkan Safari, Hamed Kharrati, Afshin Rahimi

и другие.

Опубликована: Июнь 17, 2024

Язык: Английский

Carbon neutrality and hydrogen energy systems DOI
Solomon Evro, Babalola Aisosa Oni, Olusegun Stanley Tomomewo

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 78, С. 1449 - 1467

Опубликована: Июль 5, 2024

Язык: Английский

Процитировано

98
Exploring hydrogen energy systems: A comprehensive review of technologies, applications, prevailing trends, and associated challenges DOI
Muhammad Kamran, Marek Turzyński

Journal of Energy Storage, Год журнала: 2024, Номер 96, С. 112601 - 112601

Опубликована: Июнь 28, 2024

Язык: Английский

Процитировано

44
Energy Intelligence: A Systematic Review of Artificial Intelligence for Energy Management DOI Creative Commons
Ashkan Safari, Mohammadreza Daneshvar, Amjad Anvari‐Moghaddam

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(23), С. 11112 - 11112

Опубликована: Ноя. 28, 2024

Artificial intelligence (AI) and machine learning (ML) can assist in the effective development of power system by improving reliability resilience. The rapid advancement AI ML is fundamentally transforming energy management systems (EMSs) across diverse industries, including areas such as prediction, fault detection, electricity markets, buildings, electric vehicles (EVs). Consequently, to form a complete resource for cognitive techniques, this review paper integrates findings from more than 200 scientific papers (45 reviews 155 research studies) addressing utilization EMSs its influence on sector. additionally investigates essential features smart grids, big data, their integration with EMS, emphasizing capacity improve efficiency reliability. Despite these advances, there are still additional challenges that remain, concerns regarding privacy integrating different systems, issues related scalability. finishes analyzing problems providing future perspectives ongoing use EMS.

Язык: Английский

Процитировано

10
Overview of energy modeling requirements and tools for future smart energy systems DOI Creative Commons
Hassan Majidi-Gharehnaz, Mohammad Mohsen Hayati, Christian Breyer

и другие.

Renewable and Sustainable Energy Reviews, Год журнала: 2025, Номер 212, С. 115367 - 115367

Опубликована: Янв. 22, 2025

Язык: Английский

Процитировано

1
NeuroQuMan: quantum neural network-based consumer reaction time demand response predictive management DOI
Ashkan Safari, Mohammad Ali Badamchizadeh

Neural Computing and Applications, Год журнала: 2024, Номер 36(30), С. 19121 - 19138

Опубликована: Авг. 2, 2024

Язык: Английский

Процитировано

3
FaultyVoltaMan: Ensemble Learning Model for Accurate Fault Detection and Classification of PV-Integrated Systems DOI
Ashkan Safari, Hamed Kharrati, Afshin Rahimi

и другие.

Опубликована: Июнь 17, 2024

Язык: Английский

Процитировано

1
A Survey on Wind Speed Forecasting in Smart Grids Using Deep Learning Algorithm Applications DOI

Hassan Majidi-Gharehnaz,

Mohammad Mohsen Hayati,

Reza Khalilzadeh

и другие.

Опубликована: Апрель 23, 2024

Язык: Английский

Процитировано

0
VoltaVistaMan: Energy Dynamics Intelligent Predictive Analysis Utilizing Bayesian Hyper-Tuned Neural Networks – A Case Study on Switzerland's National Electricity Demand DOI
Ashkan Safari, Hamed Kharrati, Afshin Rahimi

и другие.

Опубликована: Июнь 17, 2024

Язык: Английский

Процитировано

0