activity
20112023
most citedDynamic residential load scheduling based on an adaptive consumption level pricing scheme

44 citations · 259 across the 20 of their papers we have counts for

collaborators

22 papers

cs.LG2023★ 7 cited

Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives

Hafsa Bousbiat, Roumaysa Bousselidj, Yassine Himeur +5

Consumer's privacy is a main concern in Smart Grids (SGs) due to the sensitivity of energy data, particularly when used to train machine learning models for different services. The…

cs.CV2021

A review on physical and data-driven based nowcasting methods using sky images

Ekanki Sharma, Wilfried Elmenreich

Amongst all the renewable energy resources (RES), solar is the most popular form of energy source and is of particular interest for its widely integration into the power grid. Howe…

cs.OH2020

Investigating the Performance Gap between Testing on Real and Denoised Aggregates in Non-Intrusive Load Monitoring

Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich

Prudent and meaningful performance evaluation of algorithms is essential for the progression of any research field. In the field of Non-Intrusive Load Monitoring (NILM), performanc…

eess.SY2020★ 44 cited

Dynamic residential load scheduling based on an adaptive consumption level pricing scheme

Haider Tarish Haider, Ong Hang See, W. Elmenreich

Demand response (DR) for smart grids, which intends to balance the required power demand with the available supply resources, has been gaining widespread attention. The growing dem…

eess.SP2020

Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring

Hafsa Bousbiat, Christoph Klemenjak, Gerhard Leitner +1

The need for reducing our energy consumption footprint and the increasing number of electric devices in today's homes is calling for new solutions that allow users to efficiently m…

eess.SP2020

Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation

Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich

Non-Intrusive Load Monitoring (NILM) comprises of a set of techniques that provide insights into the energy consumption of households and industrial facilities. Latest contribution…

cs.LG2019★ 3 cited

On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring

Christoph Klemenjak, Anthony Faustine, Stephen Makonin +1

To assess the performance of load disaggregation algorithms it is common practise to train a candidate algorithm on data from one or multiple households and subsequently apply cros…

physics.soc-ph2018★ 13 cited

Efficiency of Photovoltaic Systems in Mountainous Areas

Sri Rama Phanindra Chitturi, Ekanki Sharma, Wilfried Elmenreich

Photovoltaic (PV) systems have received much attention in recent years due to their ability of efficiently converting solar power into electricity, which offers important benefits…

eess.SY2018★ 4 cited

Smart grid modeling and simulation - Comparing GridLAB-D and RAPSim via two Case studies

Midhat Jdeed, Ekanki Sharma, Wilfried Elmenreich

One of the most important tools for the development of the smart grid is simulation. Therefore, analyzing, designing, modeling, and simulating the smart grid will allow to explore…

cs.AI2016★ 1 cited

Assisted Energy Management in Smart Microgrids

Andrea Monacchi, Wilfried Elmenreich

Demand response provides utilities with a mechanism to share with end users the stochasticity resulting from the use of renewable sources. Pricing is accordingly used to reflect en…

cs.NI2015★ 29 cited

Time-triggered smart transducer networks

Wilfried Elmenreich

The time-triggered approach is a well-suited approach for building distributed hard real-time systems. Since many applications of transducer networks have real-time requirements, a…

cs.HC2015

An Open Solution to Provide Personalized Feedback for Building Energy Management

Andrea Monacchi, Fabio Versolatto, Manuel Herold +3

The integration of renewable energy sources increases the complexity in mantaining the power grid. In particular, the highly dynamic nature of generation and consumption demands fo…

cs.IT2015

Proficiency of Power Values for Load Disaggregation

Manfred Pöchacker, Dominik Egarter, Wilfried Elmenreich

Load disaggregation techniques infer the operation of different power consuming devices from a single measurement point that records the total power draw over time. Thus, a device…

cs.OH2015★ 17 cited

Complexity of Power Draws for Load Disaggregation

Dominik Egarter, Manfred Pöchacker, Wilfried Elmenreich

Non-Intrusive Load Monitoring (NILM) is a technology offering methods to identify appliances in homes based on their consumption characteristics and the total household demand. Rec…

cs.OH2014★ 34 cited

Autonomous Load Disaggregation Approach based on Active Power Measurements

Dominik Egarter, Wilfried Elmenreich

With the help of smart metering valuable information of the appliance usage can be retrieved. In detail, non-intrusive load monitoring (NILM), also called load disaggregation, trie…

cs.OH2014★ 2 cited

YoMo - The Arduino based Smart Metering Board

Christoph Klemenjak, Dominik Egarter, Wilfried Elmenreich

Smart meters are an enabling technology for many smart grid applications. This paper introduces a design for a low-cost smart meter system as well as the fundamentals of smart mete…

cs.OH2014★ 1 cited

Integration of Legacy Appliances into Home Energy Management Systems

Dominik Egarter, Andrea Monacchi, Tamer Khatib +1

The progressive installation of renewable energy sources requires the coordination of energy consuming devices. At consumer level, this coordination can be done by a home energy ma…

cs.OH2014★ 33 cited

Load Hiding of Household's Power Demand

Dominik Egarter, Christoph Prokop, Wilfried Elmenreich

With the development and introduction of smart metering, the energy information for costumers will change from infrequent manual meter readings to fine-grained energy consumption d…

cs.OH2014★ 19 cited

GREEND: An Energy Consumption Dataset of Households in Italy and Austria

Andrea Monacchi, Dominik Egarter, Wilfried Elmenreich +2

Home energy management systems can be used to monitor and optimize consumption and local production from renewable energy. To assess solutions before their deployment, researchers…

cs.ET2013★ 30 cited

Smart Microgrids: Overview and Outlook

Anita Sobe, Wilfried Elmenreich

The idea of changing our energy system from a hierarchical design into a set of nearly independent microgrids becomes feasible with the availability of small renewable energy gener…

eess.SY2013★ 19 cited

Simulating the Smart Grid

Manfred Pöchacker, Anita Sobe, Wilfried Elmenreich

Major challenges for the transition of power systems do not only tackle power electronics but also communication technology, power market economy and user acceptance studies. Simul…

cs.MM2011★ 3 cited

Storage Balancing in Self-organizing Multimedia Delivery Systems

Anita Sobe, Wilfried Elmenreich, Laszlo Böszörmenyi

Many of the current bio-inspired delivery networks set their focus on search, e.g., by using artificial ants. If the network size and, therefore, the search space gets too large, t…