activity
20182021
most citedValidating Clustering Frameworks for Electric Load Demand Profiles

1 citations · 1 across the 4 of their papers we have counts for

collaborators

8 papers

econ.GN2021

Keep it green, simple and socially fair: a choice experiment on prosumers' preferences for peer to peer electricity trading in the Netherlands

Elena Georgarakis, Thomas Bauwens, Anne-Marie Pronk +1

While the potential for peer-to-peer electricity trading, where households trade surplus electricity with peers in a local energy market, is rapidly growing, the drivers of partici…

cs.DB2021

Ontology Modeling for Decentralized Household Energy Systems

Jiantao Wu, Fabrizio Orlandi, Tarek AlSkaif +2

In a decentralized household energy system consisting of various devices such as washing machines, heat pumps, and solar panels, understanding the electric energy consumption and p…

cs.CY2021

Impact of Load Demand Dataset Characteristics on Clustering Validation Indices

Mayank Jain, Mukta Jain, Tarek AlSkaif +1

With the inclusion of smart meters, electricity load consumption data can be fetched for individual consumer buildings at high temporal resolutions. Availability of such data has m…

cs.LG2021

A Clustering Framework for Residential Electric Demand Profiles

Mayank Jain, Tarek AlSkaif, Soumyabrata Dev

The availability of residential electric demand profiles data, enabled by the large-scale deployment of smart metering infrastructure, has made it possible to perform more accurate…

eess.SY2021

Impact of Local Energy Markets on the Distribution Systems: A Comprehensive Review

Viktorija Dudjak, Diana Neves, Tarek Alskaif +14

In recent years extensive research has been conducted on the development of different models that enable energy trading between prosumers and consumers due to expected high integra…

eess.SP20211 cited

Validating Clustering Frameworks for Electric Load Demand Profiles

Mayank Jain, Tarek AlSkaif, Soumyabrata Dev

Large-scale deployment of smart meters has made it possible to collect sufficient and high-resolution data of residential electric demand profiles. Clustering analysis of these pro…