A review on the applications of PSO-based algorithm in demand side management: challenges and opportunities
The increase in energy consumption, environmental pollution issues, and low-carbon
agenda has grown the research area of demand side management (DSM). DSM programs …
agenda has grown the research area of demand side management (DSM). DSM programs …
Sustainable power management in light electric vehicles with hybrid energy storage and machine learning control
This paper presents a cutting-edge Sustainable Power Management System for Light
Electric Vehicles (LEVs) using a Hybrid Energy Storage Solution (HESS) integrated with …
Electric Vehicles (LEVs) using a Hybrid Energy Storage Solution (HESS) integrated with …
A systematic literature review on data-driven residential and industrial energy management systems
J Sievers, T Blank - Energies, 2023 - mdpi.com
The energy transition and the resulting expansion of renewable energy resources
increasingly pose a challenge to the energy system due to their volatile and intermittent …
increasingly pose a challenge to the energy system due to their volatile and intermittent …
Domestic load management with coordinated photovoltaics, battery storage and electric vehicle operation
Coordinated power demand management at residential or domestic levels allows energy
participants to efficiently manage load profiles, increase energy efficiency and reduce …
participants to efficiently manage load profiles, increase energy efficiency and reduce …
Deep learning based optimal energy management for photovoltaic and battery energy storage integrated home micro-grid system
The development of the advanced metering infrastructure (AMI) and the application of
artificial intelligence (AI) enable electrical systems to actively engage in smart grid systems …
artificial intelligence (AI) enable electrical systems to actively engage in smart grid systems …
A reinforcement learning approach for integrating an intelligent home energy management system with a vehicle-to-home unit
These days, users consume more electricity during peak hours, and electricity prices are
typically higher between 3: 00 pm and 11: 00 pm If electric vehicle (EV) charging occurs …
typically higher between 3: 00 pm and 11: 00 pm If electric vehicle (EV) charging occurs …
Home Energy Management System Based on Genetic Algorithm for Load Scheduling: A Case Study Based on Real Life Consumption Data
This paper proposes a home energy management system able to achieve optimized load
scheduling for the operation of appliances within a given household. The system, based on …
scheduling for the operation of appliances within a given household. The system, based on …
Control strategy for a bidirectional wireless power transfer system with vehicle to home functionality
The advancements in the charging strategy of electric vehicles will have inevitable effects on
the electric grid in the coming future. Electric vehicle battery chargers are able to perform the …
the electric grid in the coming future. Electric vehicle battery chargers are able to perform the …
The effects of household automation and dynamic electricity pricing on consumers and suppliers
Empowering the end-users to change their passive behaviour and to provide flexibility is
one of the key elements of Directive 2019/944 from the EU Clean Energy of all Europeans …
one of the key elements of Directive 2019/944 from the EU Clean Energy of all Europeans …
Enhancing sustainable urban economies: A statistical investigation of transitioning from fossil fuel-dependent industries to green innovation hubs
F Liu, Y Chen, J Zhu, G Zhai - Sustainable Cities and Society, 2024 - Elsevier
As a result of the evolution of the smart grid, the new energy market has been restructured in
urban systems, whereby domestic users play a more active role in the demand response …
urban systems, whereby domestic users play a more active role in the demand response …