#TITLE_ALTERNATIVE#

• Main Author: TAMPUBOLON (NIM : 10213090), MARTINUS
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/28782
• Institution: Institut Teknologi Bandung

The availability of energy is one of the main problem facing humankind today. More than 83% of world’s energy comes from unsustainable fuels. Meanwhile, energy demand continues to grow, data show world energy production growth grew by 46% from 1987 to 2007. According to the data, the sector that became the largest consumer of electricity in various countries is the household. Therefore, by involving consumers from the household sector in an effort to increase the efficiency of electrical energy consumption, energy observations are expected to be achieved. Research shows that giving feedback to electricity consumers in the form of cost structure, can improve the efficiency of energy use up to 15%. <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> The energy disaggregation method or so-called Non-Intrusive Load Monitoring (NILM) is a method for monitoring the electrical load without disrupting the measurement process on the load. To obtain energy information used by each load, only needed one KWH-Meter which used to measure the aggregate energy of all the loads. This study will use the NILM method that already contained in an energy disaggregation toolkit written in the Python programming language called NILTMTK. In this study the performance of NILMTK for disaggregation is tested by using data from loads simulation. Then NILMTK will be used to analyze the electrical energy consumption data of a house taken for one month.