scholarly journals Research on the Application of Energy Internet Big Data in Integrated Energy Market

2017 ◽  
Vol 09 (04) ◽  
pp. 328-335
Author(s):  
Wenyu Zhou
2019 ◽  
Vol 11 (16) ◽  
pp. 4359 ◽  
Author(s):  
Jianxin Ge ◽  
Tong Li

This paper applies grounded theory to explore the formation of platform leadership and its reputation through a single case study analysis of a Chinese energy internet platform enterprise CZB (Che Zhu Bang). Initially, CZB was a follower in China’s internet energy market. After clarifying and acquiring the entrepreneurial resources and the complementary assets it needed, CZB quickly established an energy internet platform and its platform leadership in two years. The research shows the mechanism by which the entrepreneurial resources and complementary assets affect the evolution of the platform leadership, the interaction between platform leadership and its reputation, and in the end, how platform reputation influences platform sustainability.


IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 5731-5746 ◽  
Author(s):  
Zhenyu Zhou ◽  
Fei Xiong ◽  
Biyao Huang ◽  
Chen Xu ◽  
Runhai Jiao ◽  
...  

2021 ◽  
Author(s):  
Chaojie Li

From self-driving vehicles, voice recognition based virtual digital assistants, smart thermostats to recommendation systems, Artificial Intelligence (AI) is becoming a crucial part of the carbon neutral society that has drawn considerable interest from energy supply firms, startups, technology developers, financial institutions, national governments and the academic community. The emergence of AI initiates numerous opportunities to transform energy industry to AI-powered smart system which can revolutionize traditional approaches of creativity thinking, strategical operation, and solution seeking, especially for accelerating carbon neutrality of our society. This survey provides a comprehensive overview of fundamental principles that underpin applications of big data analysis in Energy Internet (EI), such as smart energy supply and consumption, smart health and Fintech. Next, we focus on intelligent decision-making for the energy industry and inform the state-of-the-art by thoroughly reviewing the literature. Subsequently, cybersecurity issues for AI system related to EI are discussed with recent advancements from vulnerability analysis of AI system to differential privacy and to blockchain based security technology. To our knowledge, this is one of the first academic, peer-reviewed works to provide a systematic review of AI applications for EI research and initiatives in terms of big data analysis, intelligent decision-making and AI related cybersecurity These initiatives were systematically classified into different groups according to the field of application, methodology and contribution Afterwards, potential challenges, limitations for existing research and opportunities for future directions are discussed, ranging from emerging explainable AI, to localized multi-energy marketplaces, self-driving electric vehicle charging and e-mobility. This paper can help us understand how to build smart cities and critical infrastructure for a climate-changed world towards the UN’s sustainable development goals.


2020 ◽  
pp. 297-320
Author(s):  
Songpu Ai ◽  
Chunming Rong ◽  
Junwei Cao

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