The recent developments in the research area of sustainable technology and energy management have shown a significant shift towards integrating advanced analytics and machine learning techniques to optimize resource utilization and reduce environmental impact. A notable trend is the use of recommender systems and reinforcement learning to influence consumer behavior and decision-making processes, aiming to promote sustainable practices. Additionally, there is a growing focus on the environmental consequences of digital technologies, such as Bitcoin mining, and efforts to mitigate these impacts through innovative solutions and policy interventions. The field is also witnessing advancements in the application of time series foundation models for building energy analytics, which promise to enhance the accuracy of energy forecasting and management. Furthermore, the integration of renewable energy sources and the development of carbon-aware real-time workload management frameworks in cloud systems are emerging as key strategies to balance technological innovation with sustainability goals. Overall, the research is moving towards creating more holistic and data-driven approaches to address the complex challenges of sustainable development in the digital age.