[HTML][HTML] Semantic web and knowledge graphs for industry 4.0

M Yahya, JG Breslin, MI Ali - Applied Sciences, 2021 - mdpi.com
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 …

Challenges and opportunities of integrating electric vehicles in electricity distribution systems

N Panossian, M Muratori, B Palmintier, A Meintz… - Current sustainable …, 2022 - Springer
Abstract Purpose of Review Increased charging needs from widespread adoption of battery
electric vehicles (EVs) will impact electricity demand. This will likely require a combination of …

Neuro-fuzzy and networks-based data driven model for multi-charging scenarios of plug-in-electric vehicles

I Ahmed, M Rehan, A Basit, M Tufail, KS Hong - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

Optimization of waiting time for electric vehicles using a fuzzy inference system

S Hussain, YS Kim, S Thakur… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

The human factor in the disaster resilience modeling of critical infrastructure systems

JJ Magoua, N Li - Reliability Engineering & System Safety, 2023 - Elsevier
Under major shocks such as natural or man-made disasters, the ability of human actors to
maintain the safety, reliability and performance of critical infrastructure systems (CISs) is …

[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 …

[HTML][HTML] Hybrid coordination scheme based on fuzzy inference mechanism for residential charging of electric vehicles

S Hussain, RR Irshad, F Pallonetto, I Hussain… - Applied Energy, 2023 - Elsevier
The charging of electric vehicles (EVs) at residential premises is orchestrated through either
centralized or decentralized control mechanisms. The former emphasizes adherence to …

Maximum power point tracking techniques for photovoltaic panel: A review and experimental applications

M Derbeli, C Napole, O Barambones, J Sanchez… - Energies, 2021 - mdpi.com
This article contains a review of essential control techniques for maximum power point
tracking (MPPT) to be applied in photovoltaic (PV) panel systems. These devices are …

[HTML][HTML] A two-layer decentralized charging approach for residential electric vehicles based on fuzzy data fusion

S Hussain, S Thakur, S Shukla, JG Breslin… - Journal of King Saud …, 2022 - Elsevier
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 …

Overview of vehicle-to-vehicle energy sharing infrastructure

M Alghawi, J Mounsef - IEEE Access, 2024 - ieeexplore.ieee.org
Electric vehicles (EVs) play a pivotal role in fostering sustainable societies, industries, and
economies. By curbing greenhouse gas emissions, enhancing air quality, and promoting …