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The Impact of Attacks in LEM and Prevention Measures Based on Forecasting and Trust Models
- Source :
- Processes, Volume 9, Issue 2, Processes, Vol 9, Iss 314, p 314 (2021)
- Publication Year :
- 2021
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2021.
-
Abstract
- In recent years Local Energy Markets (LEM) have emerged as an innovative and versatile energy trade solution. They bring benefits when renewable energy sources are used and are more flexible for consumers. There are, however, security concerns that put the feasibility of the local energy market at risk. One of these security challenges is the integrity of data in the smart-grid that supports the local market. In this article the LEM and the types of attacks that can have a negative impact on it are presented, and a security mechanism based on a trust model is proposed. A case study is elaborated using a multi-agent system called Local Energy Market Multi-Agent System (LEMMAS), capable of simulating the LEM and testing the proposed security mechanism.
- Subjects :
- business.industry
Computer science
020209 energy
Process Chemistry and Technology
Mechanism based
020206 networking & telecommunications
Bioengineering
forecasting
trust models
02 engineering and technology
security
lcsh:Chemical technology
Renewable energy
lcsh:Chemistry
Risk analysis (engineering)
lcsh:QD1-999
local energy market
multi-agent simulation
0202 electrical engineering, electronic engineering, information engineering
Chemical Engineering (miscellaneous)
Energy market
lcsh:TP1-1185
business
Mechanism (sociology)
Energy (signal processing)
Subjects
Details
- Language :
- English
- ISSN :
- 22279717
- Database :
- OpenAIRE
- Journal :
- Processes
- Accession number :
- edsair.doi.dedup.....58e61b2bd892d7eeaf427708d70e21a1
- Full Text :
- https://doi.org/10.3390/pr9020314