Evolving Non-Intrusive Load Monitoring

Our paper Evolving Non-Intrusive Load Monitoring by Dominik Egarter, Anita Sobe and Wilfried Elmenreich has been accepted for the conference track EvoEnergy (Evolutionary Algorithms in Energy Applications) of the EvoApplication (16th European Conference on the Applications of Evolutionary Computation) 2013, taking place in Vienna form 3rd to 5th of April.

Basic principle of the ON/OFF time genome appliance
detection. Given is the total power consumption over
time. The goal is to deduce the on/off times of devices
(colored blocks) that add up to the measured power profile.

Non-intrusive load monitoring (NILM) identifies used appliances in a total power load according to their individual load characteristics. In this paper we propose an evolutionary optimization algorithm to identify appliances, which are modeled as on/off appliances. We evaluate our proposed evolutionary optimization by simulation with Matlab, where we use a random total load and randomly generated power profiles to make a statement of the applicability of the evolutionary algorithm as optimization technique for NILM. Our results shows that the evolutionary approach is feasible to be used in NILM systems and can reach satisfying detection probabilities.



Dominik Egarter, Anita Sobe, Wilfried Elmenreich,   Evolving Non-Intrusive Load Monitoring,   EvoApplication 2013,   16th European Conference on the Applications of Evolutionary Computation, April, 2013

Workshop on Modeling and Simulation of Cyber-Physical Energy Systems 2013

Workshop on Modeling and Simulation of Cyber-Physical Energy Systems 2013

May 20 2013, Berkeley CA

http://www.palensky.org/mscpes/

Modern energy systems combine information technology, electrical and thermal infrastructure, autonomous roles and interact with other systems like markets and regulations. Existing modeling and simulation tools are not capable to cover such systems in all of their aspects, new languages, methods and tools are necessary. A combination of universal modeling languages like Modelica and established, specialized tools like grid simulators and telecommunication simulators is necessary. This leads to modeling and co-simulating hybrid systems where for instance a multi-agent framework and an electric grid simulator are combined to investigate smart electric vehicle charging algorithms. It is especially the potential size of such systems that constitute a challenge for modeling and simulation. Implementing these future CPS are another substantial challenge. The designed algorithms need to be compact, computationally inexpensive, potentially self-organizing and intrinsically stable if applied to real energy systems. New methods and alternative ways are necessary to overcome these challenges.

This workshop is a platform for researchers and developers to exchange ideas to the following (not exhaustive) list of topics:

-    Hybrid modeling and simulation

-    Co-Simulation

-    High-performance computing

-    Analytics of system data

-    Ontologies for energy systems

-    Applications of cyber-physical energy systems

-    Distributed algorithms and control

-    Standards in interfacing components

-    Numerics for hybrid and co-simulation

-    Formal languages for energy systems

-    Smart Grid modeling

-    Demand response and power quality

-    Information and communication technology for intelligent energy systems

Submitted papers are peer-reviewed by at least 3 reviewers. Workshop language is English. Proceedings will be published by Springer.

Full paper submission: January 31, 2013

Notification of acceptance: February 20, 2013

Your workshop chairs,

Peter Palensky (Austrian Institute of Technology)

Edward A.Lee (University of California Berkeley)