###### Abstract
The latter will enable the management and resolution of all lighting, traffic light, pollution, parking, street alarm, early resource detection, emergency weather and energy storage issues. SGs provides the same for infrastructure, power lines, smart meters, components, post-station systems, switches, sensors and other applications [14]. SG has become less expensive than the current electrical grid due to the diversity of innovative technology. Switching to SG necessitates electricity from numerous, widely scattered sources [15]. The advanced grid development will incorporate traditional power plants, solar and wind energy sources, plug-in devices and energy storage facilities. Using and keeping data can drastically cut energy use and expenditures. For instance, in [16], the authors illustrate that intelligent lighting is designed to track across different regions automatically, is adapted to accommodate daylight or traffic requirements and can rapidly assess energy demand. In [17], the authors show that consumers can alter house temperatures and air conditioners while at work or on holidays. According to the authors, SGs reduce expenses through tracking, intelligent energy and switching sources when power failures are detected. In [18], the authors argue that expansion of the IoT will encourage the US energy sector to incorporate renewable facilities to increase wind power generation, micro-grid networks and feeding structures. In [19], the authors showed that EI and SG 2.0 might enable the transportation and parking station sectors to connect and collect real-time data from drivers and authorities. This vision will minimize road congestion, enhance traffic solutions, report pedestrian street collisions, damage the urban environment and automatically encourage road charges and parking meters. Internet of Things technology lets autonomous vehicles operate wirelessly. In [20], the authors reported that IoT technologies can control waste and water and cut greenhouse gas emissions. This includes real-time product monitoring and loss management results. In [21], the authors illustrate how IoT and big data monitor water movement and temperature, manage energy demand and reduce waste. Timers and infrastructure help achieve these goals. In [22], the authors state that the IoT would be utilized to distribute electricity to low-population areas by linking national or regional infrastructure. These networks are needed to use modern energy technology. In [23], the authors suggest the IoT as the most excellent answer for intelligent cities and SGs. This letter will indicate real-time regional difficulties. In Mannheim, Germany, it was used to implement SG applications. Mannheim's cities implemented green resources with this project and planned and developed energy usage [24]. Schneider Electric offers wired solar power systems in Mannheim. This will allow families to have access to PV systems and control and maintenance equipment until the entire network is depleted or solar energy is produced and converted to satisfy peak demand [25]. In [26], the authors report that the Lumin Energy Project (LEP) used the IoT to reduce expenditures and emissions and promote renewable energy. This project offers an efficient storage program for solar panels. In [27], the authors note that various techniques have recently been developed to decentralize messaging, data storage and transportation. This phenomenon encourages academics and the industry to consider edge computing as a solution. Computing networks will feature edge computing. This will connect cloud storage, networks and databases. In [28, 29], the authors suggested that edge computing would enhance reaction times, reduce energy rates and increase interactions, scalability and confidentiality. Edge computing helps heterogeneous IoT systems communicate through unique network topology and different devices (sensors, cars, machines, computers, gauges, etc.). In [30], the authors state that business 4.0, energy management and consumers will benefit from IoT SG technologies.