Emerging communication technologies and information for renewable transitions and smart energy systems

In order to achieve global decarbonization and to transition from carbon intensive methods to smart energy systems and renewable energy is crucial in being able to combat climate change. This is as the energy sector through non-renewable energy is the biggest contributor to greenhouse gases. The article by Ning Zhao, Haoran Zhang, Xiaohu Yang , Jinyue Yan, and Fengqi You shows the emerging communication technologies, smart energy systems and renewable transitions.

Decarbonizing energy systems

There are two challenges in achieving a decarbonization system which include sustainable system operations and energy transition planning. When you have energy transition designs in place, you then can accompany storage, energy transmission and energy production and planning decisions which happen on a yearly basis. To give decarbonized energy systems a chance it would help in planning energy strategies and the operation of smart energy systems and to make way for future technologies such as artificial intelligence, blockchain, quantum computing and next-generation  communication technologies. Furthermore, emerging technologies in smart energy systems and energy transitions are being investigated in academic research. It is known that energy production is crucial in the years to come especially in smart energy systems with regards to trading activities such as blockchain technology and consumers which has the potential to track complex energy systems. Moreover, wireless technologies are known to be advancements in the fifth generation state-of-art such as: 5G and 6G wireless networks are connected to creating a good connection in smart energy systems and address complexities of these systems.

The objectives of the research paper

The study has the following objective “to review the recent academic findings

and industrial applications of emerging information and communication technologies in smart energy systems and renewable transition.” In order to achieve the objectives, the research papers investigates three questions.

1. "What are the state-of-the-art research studies incorporating emerging information and communication technologies in energy transition and smart energy systems?

2.  How does each of the emerging technologies effectively facilitate the planning of renewable transition and the systems operations?

3. What are the industrial demonstrations and use cases for the adoption of computing, information, and communication technologies with energy systems decarbonization and operations?"

The topics focused in the article

The article also looked into these topics: quantum computing, quantum enhanced optimization, quantum machine learning, and blockchain for smart energy systems, energy systems having 5G or 6G. Further, metaverse for climate change mitigation and smart energy systems, and artificial intelligence for renewable transition and for smart energy systems. Optimization in application energy systems artificial intelligence. Sequence to sequence learning and time series, federated learning, energy systems that have a computer vision, and trustworthy artificial intelligence.

Concluding statements

In order to combat climate change, energy systems nust be decarbonized, as it is a major contributor towards greenhouse gases. There is a mixture of AI and non AI technologies that are used to transition towards renewable energy. The final message in the article is as follows:  explainable and trustworthy AI based on modern machine learning methods could help quantify and explain fundamental aspects of power system operation and stability