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[HTML][HTML] 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 …
Challenges and opportunities of integrating electric vehicles in electricity distribution systems
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 …
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
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 …
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 …
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 …
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
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] 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 …
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 …
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
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 …
Overview of vehicle-to-vehicle energy sharing infrastructure
Electric vehicles (EVs) play a pivotal role in fostering sustainable societies, industries, and
economies. By curbing greenhouse gas emissions, enhancing air quality, and promoting …
economies. By curbing greenhouse gas emissions, enhancing air quality, and promoting …