## 1 Introduction  
The research explores a novel research process based on PIoT architecture to improve smart grid demand response schemes, which play a critical role in ensuring grid stability and load balancing as mentioned in [1]. In this research, we propose a novel function of research process based on power internet of things architecture intended for smart grid demand scheme according to [2]. The integration of advanced communication, computing, and control techniques with PIoT is aimed at managing energy resources effectively, minimizing energy losses, and improving system reliability. The proposed research process can help in the development of efficient smart grid systems to cater to the increasing demand for energy and optimize energy consumption as mentioned in [3]. The rapid development of technology and growing environmental concerns have given rise to the need for more efficient and sustainable energy management systems as mentioned in [4]. Smart grid systems have emerged as a promising solution, offering improved reliability, efficient energy consumption, and better integration of renewable energy sources. One of the key components driving the evolution of smart grids is the power internet-of-things (PIoT) architecture according to [5]. PIoT has the potential to revolutionize energy management and demand-side schemes, ensuring optimal use of resources and facilitating a more environmentally friendly energy landscape. This paper presents an in-depth study of a novel function of the research process based on a PIoT architecture intended for smart grid demand schemes as mentioned in [6]. The growing integration of PIoT in smart grid systems enables enhanced communication between various components, such as smart meters, sensors, and control systems. This improved connectivity paves the way for advanced energy management and demand-side strategies. However, there is a lack of innovative research processes and demand management systems that can fully capitalize on the potential of PIoT technology as mentioned in [7]. This study aims to bridge this gap and contribute to the development of novel and efficient demand schemes for smart grids. However, current research processes and demand management schemes in smart grid systems have yet to fully explore and leverage the capabilities of PIoT technology, which impedes the development of effective and innovative solutions for energy management and demand-side optimization as mentioned in [8]. The primary goal of this research is to develop a novel function of the research process based on PIoT architecture that is intended for smart grid demand schemes, which can optimize energy utilization, improve system reliability, and facilitate demand-side management. This study builds upon the existing body of knowledge on PIoT and smart grid systems, which has primarily focused on individual components and their functionality as mentioned in [9]. However, there is a clear need for a comprehensive examination of how PIoT can be effectively integrated into smart grid systems to enhance demand management schemes, addressing challenges such as data security, privacy concerns, and interoperability issues. The findings of this research not only contribute to the theoretical understanding of PIoT-based smart grid systems but also provide practical insights and guidelines for stakeholders, including policymakers, utility companies, and technology developers, in the implementation of more efficient and sustainable energy management strategies as shown in Figure 1[10]. The motivation for developing a power internet of things (IoT) architecture intended for a smart grid demand scheme arises from various challenges and opportunities in the energy sector. This architecture aims to address these challenges and leverage the benefits of IoT technology to enhance the efficiency, reliability, and sustainability of the smart grid's demand management as shown in Figure 2[11].