[1]
|
Artificial Intelligence for safety and reliability: A descriptive, bibliometric and interpretative review on machine learning
Journal of Loss Prevention in the Process Industries,
2024
DOI:10.1016/j.jlp.2024.105343
|
|
|
[2]
|
Lightning risk estimation and preventive control method for power distribution networks referring to the indeterminacy of wind power and photovoltaic
Electric Power Systems Research,
2023
DOI:10.1016/j.epsr.2022.108896
|
|
|
[3]
|
Lightning risk estimation and preventive control method for power distribution networks referring to the indeterminacy of wind power and photovoltaic
Electric Power Systems Research,
2023
DOI:10.1016/j.epsr.2022.108896
|
|
|
[4]
|
Lightning risk estimation and preventive control method for power distribution networks referring to the indeterminacy of wind power and photovoltaic
Electric Power Systems Research,
2023
DOI:10.1016/j.epsr.2022.108896
|
|
|
[5]
|
Lightning risk estimation and preventive control method for power distribution networks referring to the indeterminacy of wind power and photovoltaic
Electric Power Systems Research,
2023
DOI:10.1016/j.epsr.2022.108896
|
|
|
[6]
|
Data-Driven load management of stand-alone residential buildings including renewable resources, energy storage system, and electric vehicle
Journal of Energy Storage,
2020
DOI:10.1016/j.est.2020.101221
|
|
|
[7]
|
A Novel Scenario Reduction Method for Static Voltage Stability
2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2),
2020
DOI:10.1109/EI250167.2020.9347010
|
|
|
[8]
|
Data-Driven load management of stand-alone residential buildings including renewable resources, energy storage system, and electric vehicle
Journal of Energy Storage,
2020
DOI:10.1016/j.est.2020.101221
|
|
|
[9]
|
Data-Driven load management of stand-alone residential buildings including renewable resources, energy storage system, and electric vehicle
Journal of Energy Storage,
2020
DOI:10.1016/j.est.2020.101221
|
|
|
[10]
|
Application of comparative strainer clustering as a novel method of high volume of data clustering to optimal power flow problem
International Journal of Electrical Power & Energy Systems,
2019
DOI:10.1016/j.ijepes.2019.05.021
|
|
|