Today I have publicly released the functions used to measure the accuracy performance in my journal paper Nonintrusive load monitoring (NILM) performance evaluation: A unified approach for accuracy reporting in Springer’s Energy Efficiency Journal (DOI 10.1007/s12053-014-9306-2). The Python 3 code is available in my GitHub repository.
NILM performance evaluation code released
Published by Stephen Makonin
Dr. Stephen Makonin is an Adjunct Professor in Engineering Science at Simon Fraser University (SFU) and a Senior Software Engineer at Knowledge Network. He received his PhD in Computing Science at Simon Fraser University in 2014, and has been a software engineer for over 20 years working for various local and international clients. Stephen is currently the Vice-Chair of the IEEE Signal Processing Society Vancouver Chapter as well as a Senior Member of the IEEE. His research interests include computational sustainability and the understanding of socioeconomic issues that pertain to technological advancement. Stephen is an expert in data engineering and a world-renowned researcher in non-intrusive load monitoring (NILM) and disaggregation. View all posts by Stephen Makonin
