Semantic web and knowledge graphs for industry 4.0
In recent years, due to technological advancements, the concept of Industry 4.0 (I4. 0) is
gaining popularity, while presenting several technical challenges being tackled by both the …
gaining popularity, while presenting several technical challenges being tackled by both the …
Fuzzy-based efficient control of DC microgrid configuration for PV-energized EV charging station
DS Abraham, B Chandrasekar, N Rajamanickam… - Energies, 2023 - mdpi.com
Electric vehicles (EVs) are considered as the leading-edge form of mobility. However, the
integration of electric vehicles with charging stations is a contentious issue. Managing the …
integration of electric vehicles with charging stations is a contentious issue. Managing the …
Neuro-fuzzy and networks-based data driven model for multi-charging scenarios of plug-in-electric vehicles
In recent times, significant progress has been achieved in the domain of intelligent and eco-
friendly transportation. Electric mobility emerges as a viable and effective solution, offering …
friendly transportation. Electric mobility emerges as a viable and effective solution, offering …
Energy management system for hybrid renewable energy-based electric vehicle charging station
This paper introduces an energy management algorithm for a hybrid solar and biogas-
based electric vehicle charging station (EVCS) that considers techno-economic and …
based electric vehicle charging station (EVCS) that considers techno-economic and …
Optimization of waiting time for electric vehicles using a fuzzy inference system
Electric vehicles (EVs) need to be recharged at intermediate locations, such as shop**
malls, restaurants, and parking lots, to meet the daily commute requirements of their users …
malls, restaurants, and parking lots, to meet the daily commute requirements of their users …
Electric vehicle charging stations and the employed energy management schemes: a classification based comparative survey
Increased adoption of the electric vehicle (EV) needs the proper charging infrastructure
integrated with suitable energy management schemes. However, the available literature on …
integrated with suitable energy management schemes. However, the available literature on …
[HTML][HTML] Enhancing electric vehicle charging efficiency at the aggregator level: A deep-weighted ensemble model for wholesale electricity price forecasting
S Hussain, AP Teni, I Hussain, Z Hussain, F Pallonetto… - Energy, 2024 - Elsevier
The proliferation of electric vehicle (EV) adoption strains low-voltage distribution networks,
particularly in aggregated charging scenarios, prompting utility companies to incentivize …
particularly in aggregated charging scenarios, prompting utility companies to incentivize …
[HTML][HTML] A two-layer decentralized charging approach for residential electric vehicles based on fuzzy data fusion
This work presents a two-layer decentralized charging approach (TLDCA) based on fuzzy
data fusion concerning the economic and power layers for optimizing the charging cost of …
data fusion concerning the economic and power layers for optimizing the charging cost of …
Network analysis in a peer-to-peer energy trading model using blockchain and machine learning
Existing technology like smart grid (SG) and smart meters play a significant role in meeting
the everlasting demand of energy consumption, supply, and generation for peer-to-peer …
the everlasting demand of energy consumption, supply, and generation for peer-to-peer …
[HTML][HTML] Hybrid coordination scheme based on fuzzy inference mechanism for residential charging of electric vehicles
The charging of electric vehicles (EVs) at residential premises is orchestrated through either
centralized or decentralized control mechanisms. The former emphasizes adherence to …
centralized or decentralized control mechanisms. The former emphasizes adherence to …