Company profile
eco-bot
Energy efficiency H2020 project combining chatbot and energy disaggregation tech with multifactorial behavioral modeling
- Industry
- Research
- Employees
- 11
- Headquarters
- Berlin , Wilmersdorf
- Founded
- 2017
- LinkedIn followers
- 186
- Office locations
- 1
eco-bot company summary
eco-bot is a company in the Research industry, headquartered in Berlin , Wilmersdorf, founded in 2017. On LinkedIn the company has around 11 employees and 186 followers. Its listed specialties include chatbot, energy, efficiency, disaggregation, behavioral.
What technology does eco-bot use?
No technologies detected yet. Warmrank rechecks company websites on a rolling basis.
About eco-bot
Eco-Bot aims to utilize recent advances in chatbot tools and advanced signal processing (i.e. energy disaggregation) using low-resolution smart meter-type data with the goal of changing their behavior towards energy efficiency. Eco-Bot targets to a personalized virtual energy assistant to deliver information on itemized (appliance-level) energy usage through a chat-bot tool. The “chat-bot” functionality will be used as an attractive frontend interface, permitting seamless communication in a more natural and interactive way than a traditional mobile application. This way, Eco-Bot aims to achieve a higher level of engagement with consumers than previous efforts (i.e. serious games, gamification, competitions or other interactive ICT), by adding a more engaging form of interaction with existing platforms which have been proven in different market settings. The proposed system considers knowledge of the delivered multi-factorial models, including rebound-effects, as a result of the baseline research on both European and International activities. Then, based on advanced ICT, such as knowledge engineering, machine learning, expert systems, the project transforms the multi-factorial models for energy reduction to interactive, personalized and targeted recommendations to consumers on how to save energy. Eco-Bot uses existing NILM (energy disaggregation) methods and advanced data analytics to break down consumption to the appliance level, where this is possible (smart meters at reasonable granularity with adequate information collected) so as to make consumers aware of their most energy-consuming devices. The project will demonstrate the system in three different use cases, each one representing a different business model (B2B / B2B2C /B2C). We aim to validate our system across real and diverse conditions such as socio-cultural, environmental, demographic, climate and consumption, so as to draw concrete conclusions regarding performance, effectiveness, affordability, etc.
Specialties
Where is eco-bot located?
eco-bot lists 1 location.
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Frequently asked questions about eco-bot
What does eco-bot do?
Eco-Bot aims to utilize recent advances in chatbot tools and advanced signal processing (i.e. energy disaggregation) using low-resolution smart meter-type data with the goal of changing their behavior towards energy efficiency. Eco-Bot targets to a personalized virtual energy assistant to deliver information on itemized (appliance-level) energy usage through a chat-bot tool. The “chat-bot” functionality will be used as an attractive frontend interface, permitting seamless communication in a more natural and interactive way than a traditional mobile application. This way, Eco-Bot aims to achieve a higher level of engagement with consumers than previous efforts (i.e. serious games, gamification, competitions or other interactive ICT), by adding a more engaging form of interaction with existing platforms which have been proven in different market settings. The proposed system considers knowledge of the delivered multi-factorial models, including rebound-effects, as a result of the baseline research on both European and International activities. Then, based on advanced ICT, such as knowledge engineering, machine learning, expert systems, the project transforms the multi-factorial models for energy reduction to interactive, personalized and targeted recommendations to consumers on how to save energy. Eco-Bot uses existing NILM (energy disaggregation) methods and advanced data analytics to break down consumption to the appliance level, where this is possible (smart meters at reasonable granularity with adequate information collected) so as to make consumers aware of their most energy-consuming devices. The project will demonstrate the system in three different use cases, each one representing a different business model (B2B / B2B2C /B2C). We aim to validate our system across real and diverse conditions such as socio-cultural, environmental, demographic, climate and consumption, so as to draw concrete conclusions regarding performance, effectiveness, affordability, etc.
How many employees does eco-bot have?
eco-bot has around 11 employees on LinkedIn.
Where is eco-bot headquartered?
eco-bot is headquartered in Berlin , Wilmersdorf.
When was eco-bot founded?
eco-bot was founded in 2017.
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