Back to Search
Start Over
Social energy: mining energy from the society
- Source :
- IEEE/CAA Journal of Automatica Sinica. 4:466-482
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- The inherent nature of energy, i.e., physicality, sociality and informatization, implies the inevitable and intensive interaction between energy systems and social systems. From this perspective, we define U+201C social energy U+201D as a complex sociotechnical system of energy systems, social systems and the derived artificial virtual systems which characterize the intense intersystem and intra-system interactions. The recent advancement in intelligent technology, including artificial intelligence and machine learning technologies, sensing and communication in Internet of Things technologies, and massive high performance computing and extreme-scale data analytics technologies, enables the possibility of substantial advancement in socio-technical system optimization, scheduling, control and management. In this paper, we provide a discussion on the nature of energy, and then propose the concept and intention of social energy systems for electrical power. A general methodology of establishing and investigating social energy is proposed, which is based on the ACP approach, i.e., U+201C artificial systems U+201D U+0028 A U+0029, U+201C computational experiments U+201D U+0028 C U+0029 and U+201C parallel execution U+201D U+0028 P U+0029, and parallel system methodology. A case study on the University of Denver U+0028 DU U+0029 campus grid is provided and studied to demonstrate the social energy concept. In the concluding remarks, we discuss the technical pathway, in both social and nature sciences, to social energy, and our vision on its future.
- Subjects :
- Sociotechnical system
business.industry
Computer science
020209 energy
Control (management)
Complex system
02 engineering and technology
Grid
Scheduling (computing)
Artificial Intelligence
Control and Systems Engineering
Social system
0202 electrical engineering, electronic engineering, information engineering
Artificial intelligence
Electric power
Informatization
Telecommunications
business
Information Systems
Subjects
Details
- ISSN :
- 23299274 and 23299266
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- IEEE/CAA Journal of Automatica Sinica
- Accession number :
- edsair.doi...........7e41aa5ab700be96c55c290cb7421853