Collaborative drivers’ networks for the development of Smart Energy environments

•Identification of 26 technological drivers for Smart Energy development.•Use of meta-analysis and Ward's method for drivers' clustering.•Identification of key and collaborative drivers.•Development of four collaborative networks for Smart Energy development. The evolution of technology and the diversification of service offerings have significantly influenced how energy is produced, distributed, stored, and consumed in cities. These new platforms are part of the Smart Energy concept and are aligned with the UN's 7th SDG by creating new business models that promote the growth of investment in infrastructure for clean energy technology. This development has several drivers, along with the various services offered to users, such as energy forecasting, intelligent measurement, and demand response programs. In this sense, this article aims to identify the development of technological drivers of Smart Energy, map collaborative networks among these drivers, and discuss best management practices for establishing collaborative relationships. The research was developed from a systematic literature review and a meta-analysis carried out with the aid of statistical software. Six key drivers and 20 collaborative drivers were identified. These drivers integrate four collaborative networks structured to offer an understanding of how energy systems are organised under the concept of Smart Energy. From this, the article provides insights into the development, implementation, and management of these networks and drivers to accelerate the diffusion of Smart Energy to users at all levels.