Meta rule-based energy management strategy for battery/supercapacitor hybrid electric vehicles
Driving pattern recognition (DPR) is widely used to improve the robustness of rule-based
energy management strategies (EMS). However, the number and quality of preset patterns …
energy management strategies (EMS). However, the number and quality of preset patterns …
[HTML][HTML] A comprehensive optimal energy control in interconnected microgrids through multiport converter under N− 1 criterion and demand response program
Nowadays, the local distribution grids have been facing technical, economic, and regulatory
challenges, because of the increased integration of renewable energy sources (RESs) and …
challenges, because of the increased integration of renewable energy sources (RESs) and …
[HTML][HTML] Development of Grain Dryer Control Technology from the Perspective of Low Carbon and Intelligentization
K Chang, J Li, Y **, C Liu - Applied Sciences, 2024 - mdpi.com
The grain-drying process plays a critical role in grain storage and quality assurance. In
recent years, with the advancement of low-carbon and intelligent technologies, the control …
recent years, with the advancement of low-carbon and intelligent technologies, the control …
Power quality analysis of interleaved Cuk configuration-based interval type-2 fuzzy logic controller for battery charging in electric vehicles
Electric vehicles with proper battery charging mechanism are essential to achieve superior
performance with good dynamic response and high efficiency. This paper comes up with the …
performance with good dynamic response and high efficiency. This paper comes up with the …
What makes electricity consumers change their behavior? Influence of attitude and perceived impact of DR programs on awareness
Purpose In this study, the authors propose a confirmatory factor analysis (CFA) to create a
tenable measurement model and identify the factors that have the potential to enhance …
tenable measurement model and identify the factors that have the potential to enhance …
Forecasting the Spot Market Electricity Price with a Long Short-Term Memory Model Architecture in a Disruptive Economic and Geopolitical Context
In this paper, we perform a short-run Electricity Price Forecast (EPF) with a Recurrent Neural
Network (RNN), namely Long Short-Term Memory (LSTM), using an algorithm that selects …
Network (RNN), namely Long Short-Term Memory (LSTM), using an algorithm that selects …
Sustainable urban conveyance selection through MCGDM using a new ranking on generalized interval type-2 trapezoidal fuzzy number
This article proposes a modified ranking technique for generalized interval type-2
trapezoidal fuzzy numbers. For demonstrating uncertainty and managing imprecision in …
trapezoidal fuzzy numbers. For demonstrating uncertainty and managing imprecision in …
[HTML][HTML] Decentralized EV charging and discharging scheduling algorithm based on Type-II fuzzy-logic controllers
Electric vehicles suppose a new paradigm in mobility and a challenge for today electric grids
because its number increases day by day. Therefore, it is of paramount importance to keep …
because its number increases day by day. Therefore, it is of paramount importance to keep …
[PDF][PDF] Bidirectional use of the batteries in modern electric vehicles
Recently, the climate and carbon neutrality are the largest challenges, both in the European
Union and globally. In addition, an energy crisis caused mostly by the Russian-Ukrainian …
Union and globally. In addition, an energy crisis caused mostly by the Russian-Ukrainian …
Energy storage capacity estimation and charging management for electric vehicle grid integration
Batteries in grid-connected electric vehicles (GEVs) can be used as moving energy storage
devices for providing power ancillary services in the power grid with renewable energy …
devices for providing power ancillary services in the power grid with renewable energy …