Different energy requirements of the residential sector are varied, such as electricity, heating, cooling, water, etc., and these necessities are met by multi-energy systems using various energy sources and converters. In this paper, an optimal day-ahead operation of a large residential demand sector is presented based on the energy hub (EH) model with combined heat and power (CHP) as a cogeneration system. The purpose of the optimization is to maximize social welfare (SW) and minimize environmental emissions subjected to numerous technical constraints. To explore the effectiveness of the proposed model, real cases were studied and results were analyzed. Moreover, to evaluate the efficiency of the proposed methodology, the Archimedes optimization algorithm (AOA) is implemented for optimizing the EH system. The performance of the AOA is compared with the genetic algorithm, and the results depict that the AOA is better in terms of convergence speed and global search ability. Implementation of the proposed framework shows that the total SW is increased by 27.44% and environmental emissions are reduced by 18.36% compared to the base case without the EH. Additionally, there is 512.26 MWh and 149.4 m³ as a surplus in the electricity and water that are sold to every network, respectively.

The Internet of Things (IoT) is revolutionizing the energy sector by providing a platform for energy hubs to connect and manage energy resources. IoT-enabled energy hubs allow energy providers to monitor, analyse, and optimize energy use across their networks. Smart energy hubs can measure energy consumption in real time, giving energy providers insight into how much energy is being used and when. This data can be used to adjust pricing and energy supply in order to maximize efficiency and cost savings. Moreover, the integration of IoT technology in energy hubs facilitates the implementation of automated energy management systems. These systems may be programmed to effectively address fluctuations in energy demand and supply, thereby ensuring a consistent and dependable energy supply. Finally, IoT-enabled energy hubs can be used to integrate renewable energy sources such as wind and solar into the energy grid, allowing energy providers to reduce their carbon footprint and meet sustainability goals.

Due to both population growth and technical developments, the global need for energy is rapidly increasing. The key to meeting future energy demands is selecting a sustainable energy source that is reliable, cost-effective, and long-term. Among other renewable energy sources (RESs), solar power offers great promise as a long-term solution to the energy dilemma because it is both affordable and environmentally friendly. Because of the huge need for energy, the scarcity of fossil fuels, and the exorbitant prices of alternative energy sources, the solar business is progressively expanding worldwide. Research into its rapid expansion was so intense and aggressive that it has now transformed into a tool to improve emerging nations' economic standing and provide for the lives of many poor people. When compared to other RESs, solar power clearly stands head and shoulders above the competition in terms of future global energy supply due to its superior accessibility, affordability, capacity, and efficiency.

Recent years have witnessed a colossal increase of vehicles on the roads; unfortunately, the infrastructure of roads and traffic systems has not kept pace with this growth, resulting in inefficient traffic management. Owing to this imbalance, traffic jams on roads, congestions, and pollution have shown a marked increase. The management of growing traffic is a major issue across the world. Traffic management is a key branch within logistics. It concerns the planning, control and purchasing of transport services needed to physically move vehicles (for example aircraft, road vehicles, rolling stock and watercraft) and freight. Intelligent Transportation Systems (ITS) have a great potential in offering solutions to such issues by using novel technologies. The ITS-based traffic management and control solutions in this evaluation have been divided into four categories: solutions for managing traffic, preventing congestion, and predicting trip times. The solutions, together with the underlying technology, benefits, and limitations, have been described.

Advancements in data technology, identifiers, and microelectronics, coupled with a deeper understanding of fire physical science, have significantly contributed to significant growth in the fire identification technology over the past decade. In practice, fire identification technology encounters obstacles such as mitigating deceptive issues, increasing responsiveness through dynamic response, and enabling extremely expensive and complex structures to more easily protect the public and comply with evolving regulations. Provision of shields. The purpose of this article is to examine the fluctuations in innovative endeavours within the field of fire identification, such as advancements in sensor architectures, fire data management, and screen technology that incorporate fire recognition frameworks. Our article examines the recent developments in fire identification technology, including emerging sensor, sign, and observation technologies, also unified fire recognition frameworks. A number of the issues that exist in the contemporary fire detection systems are examined, along with the prospective avenues for this research.

It is made easier to incorporate renewable energy technology into the design and operation of buildings by the technological possibilities, techniques, and approaches that are addressed in this article. These building technologies include solar, wind, and geothermal systems. This article's goal is to provide a comprehensive study of the multiple technologies and alternative sources of energy that have been successfully adopted in order to reduce the amount of electrical and thermal energy that is required by buildings. These technologies and sources of energy include solar energy, wind energy, geothermal energy, bioenergy, and more. In this study, the methods that are applied for the integration of these technologies inside the structures of buildings are explored. Additionally, the importance of increasing the energy efficiency of buildings is discussed in this research. In addition, this article provides tips on how to properly implement programs that make use of alternative or renewable forms of energy.