Research and design of smart home energy storage technology

What are smart home energy management systems with energy storage?

Smart home energy management systems with energy storage using multi-agent reinforcement learning-based methods. Multiple agents, which could be several energy storages, are interacting with an environment consisting of multiple homes.

Can smart homes improve energy management systems?

Recommendations are provided to improve energy management systems and guide future research for increased efficiency and sustainability in smart homes. This review offers valuable insights into the current state of energy management models and lays the groundwork for future developments in smart home energy systems.

Do smart homes have energy management models?

In this paper, we conducted a systematic literature review (SLR) of energy management models for smart homes, analyzing research from 2018 to 2024 using the PRISMA protocol and Biblioshiny tool. The review provided a comprehensive assessment of advancements, challenges, and future directions in Home Energy Management Systems (HEMS).

Are smart home energy management systems based on reinforcement learning?

Single and multi-agent systems in smart homes with energy storages are reviewed. Research directions and gaps are provided for future research directions. The paper’s state-of-the-art review focuses on an in-depth evaluation of smart home energy management systems which employ reinforcement learning-based methods to integrate energy storages.

Can a smart home energy management system use IoT and machine learning?

The system uses Internet of Things (IoT) devices to collect real-time data on energy usage and machine learning algorithms to predict future consumption patterns. This paper proposes the use of deep neural networks (DNNs) for the design and implementation of a smart home energy management system using IoT and machine learning techniques.

Are smart home energy management systems flexible?

Scientific Reports 15, Article number: 4733 (2025) Cite this article With the advancement of automation technologies in household appliances, the flexibility of smart home energy management (EM) systems has increased.