The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of ENERGY and ENVIRONMENT
Transactions ID Number: 20-364
Full Name: Lucian Milea
Position: Other
Age: ON
Sex: Male
Address: Nerva Traian 12, Bl. M37, Sc. 3, Ap. 77, 031046, Bucharest, Romania
Country: ROMANIA
Tel:
Tel prefix:
Fax:
E-mail address: lucian@sinerg.ro
Other E-mails:
Title of the Paper: Cellular Automata Applications for Renewable Energy Monitoring
Authors as they appear in the Paper: P.L. Milea, M. Teodorescu, R. Muller, A. Zafiu, M. Dragulinescu, O.Oltu, G. Stefan
Email addresses of all the authors:
Number of paper pages: 8
Abstract: The cellular automata model is a very usefull tool for various artificial intelligence applications, especially those with an important statistical behaviour. The cellular automata have proven to be dynamic systems with a very vast phenomenology and in same time a extremely elegant mathematical model that allows the modeling of apparent complex real processes. The paper presents the characteristics and advantages of the cellular automata model and, also, the principles of two applications of an artificial intelligence model, the cellular automata, in the field of renewable energy resources & consumption monitoring, for development purposes of power facilities in an off-grid rural mountain area. This activity implies to wireless monitor a set of energy sensors, which can offer real time information about primary energy potential, generated and consumed power for the case of hydro, wind and solar energy distributed low-power generators. The sensors stations are perio!
dically sending data to a data center, which stores and process it. This communication period, as well as some sensors parameters can be wireless configured from the center. To avoid measurements or configuration data to be corrupted by an intruder, we designed an encryption algorithm based on cellular automata, which comprises a dynamic key encryption generator. The received data is also processed using a cellular automata prediction algorithm, in order to obtain useful data about generated and consumed power trends. The applications with cellular automata can be hardware implemented using hardware devices or circuits which permit such a level of parallelization, like the FPGAs. For research purposes, we evaluated the reliability and performances of these applications and tested a complex implementation using a top level FPGA development board.
Keywords: Renewable Energy, Cellular Automata Applications, Artificial Intelligence, Distributed Generation, Data Encryption, Trends, Evaluation, Monitoring, FPGA.
EXTENSION of the file: .doc
Special (Invited) Session: Cellular Automata Encryption Method: Description, Evaluation and Tests
Organizer of the Session: 644-185
How Did you learn about congress:
IP ADDRESS: 89.40.225.28
