Secure and Intelligent Energy Data Management Scheme for Smart IoT Devices

Abstract

The renewable energy plays an increasingly important role in many fields such as lighting, automobile, and electric power. In order to make full use of the renewable energy, various smart Internet of Thing (IoT) devices are deployed. However, in the field of energy management, the two-way mismatch between the demand and the supply of the renewable energy will greatly affect the efficiency of the renewable energy. In addition, the security threat of the energy data and the privacy leakage of the user may hinder the further development of smart IoT devices. Therefore, how to achieve consistency and balance between the demand and the renewable energy supply and how to guarantee the security and privacy of smart IoT devices become the key problems of the energy-efficient smart environment. In this paper, a secure and intelligent energy data management scheme for smart IoT devices is proposed. It is worth noting that, with the help of artificial intelligence (AI) technologies and secure cryptography primitives, the proposed scheme realizes high-efficient and secure energy utilization in a smart environment. Specifically, the proposed scheme aims at improving the efficiency of the energy utilization in the multidimensions of a smart environment. In order to realize the fine-grain energy management of smart IoT devices, strategies of three different dimensions are considered and realized in the proposed scheme. Moreover, technologies in AI are applied and integrated into the energy management scheme. The analysis shows that the proposed scheme can make full use of the renewable energy in smart IoT devices.

Reviewing the impact of AI on renewable energy efficiency and management

“…The impact of intermittent renewable energy generation penetration on power system networks is a significant challenge that requires attention (Mlilo et al, 2021). Additionally, the mismatch between the demand and supply of renewable energy may affect its efficiency, highlighting the need for intelligent energy data management schemes for smart IoT devices (Zhou et al, 2020). Moreover, the role of renewable energy and AI in environmental sustainability and achieving net-zero emissions presents a complex challenge that requires further research and innovation (Hassan et al, 2023).…”

“…The application of AI in renewable energy extends to various aspects, including load demand forecasting, smart energy infrastructures, and energy data management for smart IoT devices (Raza & Khosravi, 2015;Șerban & Lytras, 2020;Zhou et al, 2020). Additionally, AI can contribute to the full life cycle management of power systems integrated with renewable energy, offering concepts, developments, and perspectives for efficient asset management (Wang et al, 2021).…”

Implementation of the Control system for energy-efficient Electrical devices on IoT

“…Figure 3.1 depicts, in general, the installation of smart IoT devices in a smart environment based on renewable energy. The term "smart environment" refers to a collection of components that include new energy storage systems, smart meters, smart terminals, smart distribution systems, and smart substations [11]. The intelligent substation automatically performs the fundamental tasks of data collecting, measurement, oversight, protection, and evaluation using cutting-edge intelligent technology.…”