Smart Energy
Smart Energy Management Forschung
Smart Energy
Smart Energy

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Smart Energy Management Research Solutions for energy turnaround

At the iHomeLab, the Smart Energy Management (SEM) team is researching how energy management in buildings can be improved without compromising comfort. The knowledge gained from this contributes to a successful energy turnaround.

Visit the iHomeLab
Smart Energy Management Forschung

Management system with a future

Switzerland uses around 50 percent of its energy in buildings. That’s why energy efficient solutions are very welcome – for example smart energy management, one of the most important drivers of building intelligence.

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But how do we handle energy more efficiently, without having to reduce our comfort or well being? This is the central question for us in Smart Energy Management (SEM). If we know how much energy a building and its inhabitants are expected to consume and how much energy local renewable energy sources produce, an intelligent system can optimize electricity consumption without compromising our comfort. In this way, we contribute to successfully mastering the energy transition.

Sweet Home, smart Home

Your home is getting smarter and smarter. Our research helps to exploit the possibilities of intelligent houses and thus ensure a stable power supply – with technology in the background.

Our team researches intelligent systems that cover all energy issues from production and distribution to consumption. We are pursuing two approaches: Firstly, we automate heating, cooling and washing in line with user behaviour. Secondly, we show electricity consumption so that users can switch off power guzzlers and unused appliances. This could save up to 25 percent of energy – without building reconstruction, thanks solely to automated regulation and sensitization of users. 

Projects

For more than 15 years the iHomeLab has been successfully active in research and develops solutions in the field of Smart Energy Management in various projects.

Moost

MOOST Smart Home Activity Recognition

Activity recognition system for heterogeneous smart home setups. Create value for smarthome owners by providing them with highly personalized tips on how to better use their system.

DEMETER

DEMETER - Combining NLP and Trust

Automated collection and processing of agricultural data with "Natural Language Processing" and Machine Learning to make market information from the agricultural sector accessible to a broad mass with an app.

EVFlex Vehicle2Grid

EVFlex

Balancing of peak loads in the grid with power of Batteries from Electric Vehicles (called Vehicle2Grid or V2G).

Projekt Smart Maintenance

Smart Maintenance 4.0

"Predictive Maintenance": Can sensor data be used to predict when a machine will need maintenance?

Projekt FAST

FAST

Fitness device with adaptive heart rate control for older people based on an e-bike

Giases Glättung von Lastspitzen

Giases - Smoothing of Peak Loads

Holistic Integrating Adaptive Smart Energy System (GIASES) for smoothing peak loads with flexible consumers and optimizing the production planning of power plant operators.

Forschungsprojekt Bodyguard

Bodyguard

The use of voice control in smart homes offers a high level of comfort. But the microphones are always on, always connected - and sensitive data can inadvertently get out onto the Internet. We are developing a device that works with voice control and does not need the Internet at all.

Distinguishing Performance Indicators

DPI - Distinguishing Performance Indicators

Development of intelligent algorithms for energy management platform for a building complex.

intelligente Waschmaschine

NILM4Balance

In NILM4Bal we investigate how smart meter data can be used to automatically identify large power consumers and quantify their load shift potential.

Forschungsprojekt non intrusive Load Monitoring

NILM@I

The aim of the project is to obtain a breakdown of individual consumers in the industrial sector on the basis of a central measurement of energy consumption.

Forschungsprojekt non intrusive Load Monitoring

NILMplus

In this project, we are investigating a solution for industrial load disaggregation that combines the cost efficiency of a NILM system with the accuracy of classical submetering.

Forschungsprojekt enerFACEpredict

enerFACEpredict

Timing is everything. Especially owners of solar plants are aware of that fact. Because the more precisely they can regulate their power consumption, the less they need to purchase external power. Calculating the optimal timing is a complex matter. We try to find a way in our new research project.

Partners

The application-oriented and interdisciplinary research projects are carried out in close cooperation with industrial partners and end-user organisations. The research partners automatically become part of our network, which currently comprises over 200 partners. They meet at network events and have the opportunity to establish contacts for future projects.


The iHomeLab can look back on a successful and long-standing cooperation with its partners.