Blog posts

2018

Analysing Energy Datasets with NILMTK

5 minute read

Published:

Energy consumption datasets are the outcome of measurement campaigns in representative households and industrial facilities. Such datasets are utilised to train and test NILM algorithms. Before using such datasets extensively, it might be a good idea to explore the dataset and collect some basic information. For this purpose, NILMTK provides a set of useful functions that we want to discuss briefly in this blog post by means of the dataset AMPds. Our main source is the NILMTK Documentation. Read more

Energy Datasets for NILMTK

8 minute read

Published:

Energy consumption datasets are the outcome of measurement campaigns in representative households and industrial facilities. Such datasets are utilised to train and test NILM algorithms on. Especially in NILMTK, there exist features to easily import such datasets and use them by means of a few commands. NILMTK supports a number of datasets converter functions that convert datasets and the corresponding metadata to a single H5 file, which is very convenient! In this manual, we will discuss which energy datasets exist as H5 version and show where they can be obtained. Our main sources are the NILMTK project page, the dataset page of NILM.EU, NILM.ca, and information gathered from Oli Parson’s blog. Read more

Accessing Plugwise Circles with Python

2 minute read

Published:

Plugwise products are widely-spread in Europe. Plugwise Circles, a compact and popular kind of smart plugs, are measurement devices that are utilised in academia for teaching purposes as well as in measurement campaigns (e.g., GREEND dataset). Usually, a smart plug is attached to an electrical appliance to record its power consumption over time to identify power eaters or detect abnormal behaviour. Read more

YoMoPie - A User-Oriented Energy Monitor based on the Raspberry Pi

1 minute read

Published:

Computational methods for the enhancement of energy efficiency rely on a measurement process with sufficient accuracy and number of measurements. Networked energy meters, energy monitors, serve as a vital link between the energy consumption of households and key insights that reveal strategies to achieve significant energy savings. With YoMoPie, we propose a user-oriented energy monitor for the Raspberry Pi platform that aims to enable intelligent energy services in households. YoMoPie measures active as well as apparent power, stores data locally, and integrates a user-friendly Python library. Furthermore, the presented energy monitor allows users to run self-designed services in their home to enhance energy efficiency. Potential services are (but not limited to) residential demand response, immediate user feedback, smart meter data analytics, or energy disaggregation. Read more

Open thesis topics

2 minute read

Published:

Our research group offers several research topics, which can be scaled to a bachelor thesis, research project, or master’s thesis. Read more