On November 27th, SIT4Energy participated in a virtual event at the Universidad Politécnica de San Luis Potosí, Mexico. The main objective was to introduce undergraduate students to the approach of the SIT4Energy project regarding the application of machine learning and the use of visual analytics applied mainly to the development of the utility dashboard. In this way, the importance of developing applications of the SIT4Energy framework was addressed, which involves the application of innovative topics from technology areas (e.g. machine learning) that are of particular interest to students from these areas who will become future professionals.
It is the main Goal of SIT4Energy to engage the youth of our society in the conservation of energy sources and raise their awareness on the good it brings to humanity, henceforth we strive to hold as many events as possible to engage a variety of young individuals to participate and share their bright ideas on the matter.
Supported by HAEC, ITML organized an event that advocates positive energy consumption behaviors, with the help of their brand-new mobile application designed for SIT4Energy. The event was held on the 4th of December 2020, and we can say that it was a success, considering the SARS-COVID limitations. Many students and faculty members had illuminating perspectives regarding what SIT4Energy brings to the energy-consumption seen, and what can we do to improve it. They also participated in trying the tool and filling out a questionnaire related to their consumption of energy. Finally, we hope for further events including the aforementioned participants, in order to spread the word, and gain their vivid insight regarding our project and all that it holds for energy consumption behaviors; their engagement will be further utilized in the upcoming validation stages of SIT4Energy.
SIT4Energy is delighted to announce its first international journla publication. Research results on human behaviour, entitled “Real-time Physical Activity Recognition on Smart Mobile Devices using Convolutional Neural Networks”, authored by Kostas Peppas, Apostolos C. Tsolakis, Stelios Krinidis, and Dimitrios Tzovaras, has been accepted for publication today!.
It presents the results of the novel AI-driven architecture developed by CERTH for activity tracking on a mobile device. Results demonstrate improved performance when compared with other state-of-the-art solutions on two different datasets.
In the context of SIT4Energy this tool enriches the micro-moments engine for identifying the optimal moment to sent a recommendation to the end-user.
Find the open access publication here.
Energy efficiency and climate change are two of the most omnipresent terms one might encounter in the last couple of decades. The need to impose new regulations to decrease the pollution caused by conventional energy production is growing ever more so, with international efforts aiming towards innovation in both power production and the rationalization of the consumption of resources. With switching from using fossil fuels altogether being the logical way to go, research indicates that the use of conventional power generation methods will continue until the next two decades to come; therefore, changing the consumption behaviors of individuals has become a necessity to avoid the raising issues concerning climate change and pollution of the environment.
Having hope to change the world through the efforts of our youth; the new version of the SIT4Energy application delivers an elegant solution to a modern problem, where the younger generation of society can learn how to save up energy and money with a gamified and interactive approach. The application consists of trivia questions related to energy efficiency, which are specifically designed to raise awareness amongst students and educate them regarding common energy saving practices. On other hand, a large portion of the questions/information is dedicated towards disproving widespread energy saving myths, which many of us practice wrongfully. The tool is both aesthetically pleasing and encouraging, with its award system for students who work towards the betterment of their knowledge in practicing “Green habits”. Unlike the previous release of the SIT4Energy app, this version targets the knowledge and awareness raising factor rather than monitoring the end users’ consumption behaviors directly through sensors and rigid reporting. It is envisioned to receive a generic usage and serve numerous end-users regardless of their geographical location.
Currently the tool is at its validation phase, and we kindly invite you to download it and give a try!
Find it on Google Play Store through this link.
On September 10, 2020 Prof. Dr. Jasminko Novak and Ana Grimaldo presented the SIT4Energy project at the AI Symposium of the University of Applied Sciences Stralsund.
The project was presented as part of Prof. Novak talk on his research in the area of Human-centered Artificial Intelligence in which he explores how AI applications can be developed that focus on people and their life and take into account the impact on the economy, the environment and society. In interdisciplinary research projects, practical digital innovations are developed with companies and target users, such as personalised recommendation services and digital assistants to optimise water and electricity consumption for end consumers, which promote more sustainable behaviour in everyday life.
As an example, Prof. Novak presented the work from the SIT4Energy project on AI applications and smart dashboards that enable even small energy providers and municipal utilities without AI expertise and programming skills to obtain easy-to-understand forecasts and analyses of electricity demand and supply in grids with a high share of renewable energy. This supports them in optimising their business models and offering new, sustainability-oriented services for their customers. Ana Grimaldo also presented the project with two posters including the development of the adaptive incentivation service for the mobile recommender for sustainable energy behaviour.
Check here for more information.
SIT4Energy 5th Plenary Meeting, held on the 16th of July, 2020 online, brought together the consortium aiming at presenting and organizing the integrated SIT4Energy framework and its deployment to the pilots. The members presented their current development and integration procedures and described their operational tools and engines along with pending integration steps. The discussions focused on the pilot deployment, with special consideration the COVID-19 limitations on both countries. Initial results from the closed pilot phase have been presented along with next events and overall activities within the project’s lifecycle.
SIT4Energy is announcing a new publication acceptance, heading to be presented in the “5th International Conference on Smart and Sustainable Technologies”, SpliTech Conference, on September 23-26, 2020. The project team is participating with a paper entitled “Optimal Recommendation Strategy Identification towards Energy Efficiency in Tertiary Buildings“, authored by Ilias Kalamaras, Apostolos C. Tsolakis, Adamantia Chouliara, Stelios Krinidis, and Dimitrios Tzovaras.
The paper suggests an approach that aims to deliver the optimal persuasion strategy to affect end-user’s energy-related behaviour. This work is going to be enhanced in the future, when more data is delivered by the initial pilot establishment.
Further participants are being searched for starting in June! Sign up and profit from the free use of our new visualization for self-suppliers!
Energy-efficient use of self-generated PV electricity
At the end of April 2020 the time had come! The first closed pilot phase of the field test for the SIT4Energy project has started. The SIT4Energy project is designed to provide end customers with regenerative generation plants (so-called prosumers) with an intelligent energy management tool to use the electricity they generate themselves (e.g. from PV systems) as effectively as possible, to consume it themselves and thus to increase the degree of self-sufficiency.
Currently, eight participants with a corresponding system constellation (e.g. PV system on the roof of the building or a combined heat and power unit in the basement) are testing the preliminary version of the developed energy management dashboard. The aim is to use the tool and the graphics and evaluations it contains to inform end customers that they are using as much self-generated electricity as feasible at the best possible time for energy consumption. This improves the personal CO2 footprint and helps reduce electricity costs.
Highest efficiency for the least effort directly from the utility at the point of use
Active feedback from the participants on the functions developed so far helps the project team to set up an updated and nearly bug-free version of the dashboard for the upcoming open field test. This will start at the beginning of June 2020 and last until October 2020. For this long test period, up to 90 participants (mainly prosumers or self-sufficient customers) are invited and encouraged to actively use the dashboard. If you are interested in participating in this upcoming pilot test, please feel free to contact us:
Dr Christopher Schneider
Tel: +49 9521 9494-396
More info: SIT4Energy
SIT4Energy is delighted to announce a new paper acceptance. Recent research work with title “Combining Machine Learning with Visual Analytics for Explainable Forecasting of Energy Demand in Prosumer Scenarios”, authored by Ana I. Grimaldo and Jasminko Novak, has been accepted for full paper publication at the 10th International Conference on Sustainable Energy Information Technology (SEIT-2020).
It presents the prototype design and the preliminary evaluation results of the utility dashboard. More collaborative publications are going to follow the pilot installation.