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.
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