Rooftop solar and electric vehicle integration for smart, sustainable homes: a comprehensive review

M Irfan, S Deilami, S Huang, BP Veettil - Energies, 2023 - mdpi.com
The rapid growth of the energy and transport sectors has led to an increase in fuel
consumption, resulting in a significant rise in greenhouse gas emissions. Switching to …

[HTML][HTML] Real-time energy scheduling for home energy management systems with an energy storage system and electric vehicle based on a supervised-learning …

THB Huy, HT Dinh, DN Vo, D Kim - Energy Conversion and Management, 2023 - Elsevier
With rising energy costs and concerns about environmental sustainability, there is a growing
need to deploy Home Energy Management Systems (HEMS) that can efficiently manage …

A data-driven DRL-based home energy management system optimization framework considering uncertain household parameters

K Ren, J Liu, Z Wu, X Liu, Y Nie, H Xu - Applied Energy, 2024 - Elsevier
With the rise in household computing power and the increasing number of smart devices,
more and more residents are able to participate in demand response (DR) management …

A deep learning model for intelligent home energy management system using renewable energy

SB Slama, M Mahmoud - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Home automation is seen as a potential pillar of the smart city revolution that combines
smart mobility, lifestyle and ecosystem governed by intelligent sensors connected to the …

Demand Response in Buildings: A Comprehensive Overview of Current Trends, Approaches, and Strategies

R Jurjevic, T Zakula - Buildings, 2023 - mdpi.com
Power grids in the 21st century face unprecedented challenges, including the urgent need to
combat pollution, mitigate climate change, manage dwindling fossil fuel reserves, integrate …

A stochastic model for microgrids planning considering smart prosumers, electric vehicles and energy storages

S Habib, A Ahmarinejad, Y Jia - Journal of Energy Storage, 2023 - Elsevier
This paper introduces a three-stage stochastic optimization (TSSO) structure for energy
management of a distribution system consisting of four microgrids, where distribution system …

Integrated energy hub dispatch with a multi-mode CAES–BESS hybrid system: An option-based hierarchical reinforcement learning approach

F Cui, D An, H ** - Applied Energy, 2024 - Elsevier
The high penetration of renewable energy sources (RES) in power generation has driven
demand for advanced integrated energy management systems (IEMS). In this study, to …

Modeling and mitigating the cycle aging cost of vehicle batteries in energy transportation nexus

S Li, P Zhao, C Gu, S Bu, J Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
There is a critical need to protect batteries from degradation to achieve the benefit of electric
vehicles (EVs) in the energy and transportation sectors. However, existing battery …

[HTML][HTML] Optimal scheduling of smart home energy systems: A user-friendly and adaptive home intelligent agent with self-learning capability

Z Luo, J Peng, X Zhang, H Jiang, R Yin, Y Tan… - Advances in Applied …, 2024 - Elsevier
This paper proposed a user-friendly and adaptive home intelligent agent with self-learning
capability for optimal scheduling of smart home energy systems. The intelligent agent …

Multi-objective energy management of a smart home in real time environment

A Chatterjee, S Paul, B Ganguly - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In home energy management, the occupants schedule the operating appliances to achieve
lowest optimal energy cost with minimum discomfort. Smart home energy management turns …