Sökning: "smart Meters"
Visar resultat 11 - 15 av 15 avhandlingar innehållade orden smart Meters.
11. Data analytics for weak spot detection in power distribution grids
Sammanfattning : This research aims to develop data-driven methods that extract information from the available data in distribution grids for detecting weak spots, including the components with degraded reliability and areas with power quality problems. The results enable power distribution companies to change from reactive maintenance to predictive maintenance by deriving benefits from available data. LÄS MER
12. Talk the walk : Empirical studies and data-driven methods for geographical natural language applications
Sammanfattning : Finding the way in known and unknown city environments is a task that all pedestrians carry out regularly. Current technology allows the use of smart devices as aids that can give automatic verbal route directions on the basis of the pedestrian's current position. LÄS MER
13. Clustering in the Big Data Era: methods for efficient approximation, distribution, and parallelization
Sammanfattning : Data clustering is an unsupervised machine learning task whose objective is to group together similar items. As a versatile data mining tool, data clustering has numerous applications, such as object detection and localization using data from 3D laser-based sensors, finding popular routes using geolocation data, and finding similar patterns of electricity consumption using smart meters. LÄS MER
14. Ultra Wideband Impulse Radio for Wireless Sensing and Identification
Sammanfattning : Ubiquitous computing and Internet-of-Things (IoT) implies an untapped opportunity in the realm of information and communication technology, in which a large number of micro-devices with communication and/or computing capabilities, provides connectivity for anything, by anyone at anytime and anywhere. Especially, these devices can be equipped with sensors and actuators that interact with our living environment. LÄS MER
15. Applications of artificial neural networks for time series data analysis in energy domain
Sammanfattning : With the development of artificial intelligence techniques and increased installation of smart meters in recent years, time series analysis using historical data in the energy domain becomes applicable. In this thesis, microdata analysis approaches are used, which consist of data acquisition, data processing, data analysis and data modelling, aiming to address two research problems in the energy domain. LÄS MER