Estabanell is a power utility that will offer eco-bot to residential clients during the pilot year. Through eco-bot residential consumers will have access to global and appliance level consumption data, will receive recommendations for better energy efficiency, can easily ask about company procedures and information, and can configure notifications so that they are notified about their consumption. The pilot will allow eco-bot to demonstrate its benefits to end users helping them improve their energy efficiency and to utilities helping them offer more value to their clients with an engaging energy efficiency tool.
The demo case in DEXMA’s EMS, DEXMA Analyse, is a B2B (business to business) use case – this means that Energy Management System (EMS) users, like facility managers, will use the chatbot in order to increase and/or improve the functionalities of the EMS. The Eco-Bot chatbot offers a variety of functionalities for facility managers and/or owners and energy managers such as a recommendation engine that displays the best available recommendation in order to increase the energy savings in the locations managed by the user, league tables to see the 10 best or worst performing locations in the user’s portfolio or set up consumption, cost or carbon emission goals, among other functionalities.
SENERCON has developed the energy management system iESA (interactive Energy Savings Account) which engages over 90,000 users in climate protection campaigns of the co2online NGO. IESA displays the energy consumption cost and emission in charts and tables based on data from energy bills and meter readings entered by users. By using the eco-bot chat box within iESA, users get immediate and easy access to their energy consumption, energy cost and CO2 emissions. Additionally, they can ask eco-bot for energy advice regarding different fields of energy use in a household – an as innovative aspect – they get not only general information but recommendations that fit to their personal attitude and situation.
The Eco-Bot project will classify already existing socioeconomic energy consumer models derived by European and international research projects, activities and recommendations, and will produce a taxonomy of those models while mapping them to actual market segments. Eco-Bot will build its engagement strategies on a thorough analysis of selected social and cultural factors that are key to shaping energy-saving behaviours among individual and commercial consumers. The Eco-Bot project pays special attention to soft behavioural factors, which is important for shaping desirable pro-ecological
behaviours among energy consumers. This will provide an accurate definition of the behavioural segments of the target groups to be selected for the purposes of the project.
Monitoring energy consumption of individual appliances using individual appliance sensors or submetering in a house or a commercial building is often impractical and expensive, especially since the number of loads in residential and commercial buildings is rapidly increasing. On the other hand, energy disaggregation via Non-Intrusive Load Monitoring (NILM) offers a non-intrusive, purely computational, software-based approach to separate aggregate load obtained from a single electricity meter into individual appliance loads. Researchers at Strathclyde will focus on tackling the challenges of NILM algorithms suitable for low rate (1-60s) to very low rate (15-60mins) disaggregation of smart meter data.
ERRA expands its software solutions, leveraging Natural Language Processing technologies and Artificial Intelligence. Chatbots create a direct personal communication channel that can improve the user experience, facilitate interactions and give valuable insights to the customer needs. In the Eco-Bot project, multilingual virtual agents are built to support the tailored needs of diverse users; electric power utility customers, residential users with smart meters and energy management system users. ERRA's metrics on user interactions allow constant monitoring of the user experience and analysis of performance, thus enable its improvement.
Watch the latest project video explaining how the multi-factorial behavioral model works led by the University of Katowice.
Read more New video: the eco-bot Behavioral Model
This eco-bot project video has been prepared by the commercial buildings pilot leader DEXMA featuring live interviews with two (energy managers) pilot users.
Read more The eco-bot commercial buildings pilot
German pilot leader Senercon has created the following video (in German) about their eco-bot piloting activities:
Read more German eco-bot project pilot video
In the first of a series of articles on consumer energy behaviour, published in Energies we try to identify individual attitudes and beliefs of energy consumers using the example of the residents of the province of Silesia (Poland). We divided our research into two parts. First, we conducted an expert segmentation of respondents in terms […]
Read more University of Economics in Katowice: series of articles on consumer energy behaviour
Hello and thank you very much for taking the time to talk to me about Eco-Bot and answer our questions: I assume that you worked in home office during the lockdown. Is it more difficult to save energy in these times? I’m still studying and currently staying with my parents for an internship, spending most […]
Read more Interview with German eco-bot pilot user
Our Spanish pilot Estabanell has created a video containing testimonials of the eco-bot pilot users.
Read more Spanish eco-bot project pilot video
Many of our Eco-Bot project participants are currently sitting in their home offices and, due to the pandemic, spend more time at home working, cooking, drinking coffee and streaming in the evenings. Here are a few tips from our German pilot partner Senercon and co2online on how to save energy in the home office: Switch […]
Read more Tips from co2online on how to save energy in the home office
More input in from our German pilot on what Energy Savings Account users write to us about their experience with Eco-Bot: “A chatbot in Energy Savings Account is a great idea, especially if it helps to get the right energy data faster.” “The menu at the beginning is very clear and helps to find Eco-Bot’s […]
Read more eco-bot: More Energy Savings Account user testimonials
Eco-Bot is powered by a monitoring tool that allows the efficient management of all customer conversations. The Front End “Chatbot”, with its monitoring tool, allows reviewing conversations, even in real-time and exploring how the bots are performing. Performance monitoring is possible through analytics on the conversation data and the generation of key metrics that indicatively […]
Read more The eco-bot frontend chatbot monitoring tool
Eco-Bot introduces a new and innovative way to create personalized energy efficiency advice and recommendations for your bot. Our Rule Engine, through an abstract interface, is designed to allow administrators to build their own rules for a specific group of users. The heart of the rule engine system is capable of retrieving needed values from […]
Read more The Rule Engine