17th International Conference on Intelligent Systems Application to Power Systems, Tokyo, Japan

Abbrevation

ISAP

Link

http://www.isc.meiji.ac.jp/~hmori/isap2013/

City

Tokyo

Country

Japan

Deadline Paper

2013-02-20

Start Date

2013-07-01

End Date

2013-07-04

Abstract

The Conference welcomes papers on Intelligent Systems Application to Electric Power and Energy Systems (Generation, Transmission, Distribution, Markets, Operations, and Planning) with preference to : Modern Grid Operation and Control – Smart grids – Automated metering applications – Demand–side participation and response – Isolated and weakly interconnected power systems – Microgrids and small island systems – Self–healing grids and active distribution automation – Wide area system monitoring and control – Fault detection and diagnostics – Monitoring and state analysis of power system components – Protection Electric Power and Energy System Analysis, Uncertainty and Risk Assessment – Power system security, reliability and adequacy – Power system economics and pricing – State and load estimation – Load, price and renewable generation output forecasting – Grid integration of renewables including solar and wind – Optimal charging of EV and energy storage systems – Complex interactive cyber–physical systems – Decision–making in electricity markets, energy derivatives, load shedding, etc. – Probabilistic optimization under uncertain environment – Asset management and real options Intelligent System Techniques including but not limited to: – Intelligent estimation and classification techniques including neural nets, fuzzy systems, data mining, decision trees, kernel machines, etc. – Knowledge based systems including rule–base systems expert systems, model–based reasoning – Advanced optimization techniques including GA, TS, PSO, ACO, MVO (Mean–Variance Optimization), immune systems, and bacterial foraging – Multi–agent systems, evolutionary intelligent agents, adaptive distributed computing and control – Hybrid intelligent systems – Computational neuroscience – Game theory – Molecular and quantum computing – Bayesian models and networks – Ensemble learning models – Distributed/parallel algorithms