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Last days to register for the Tourism Hackdays 2021!

- April 8, 2021 in event, hackathon, Tourism

Take part and support innovation for tourism in Switzerland: help bring one of our 13 data based and non-data based challenges forward!
Hackathons are always a chance to meet like minded-people, sharpen your skills and think about new concepts for this dynamic and growing industry.

So be part of it:
Register until the 18th of April and take part to the online kickoff on Wednesday the 21st of April at 17:00.
The hackathon itself will also take place online on the 28th & 29th of April 2021. We send a little package at the beginning of next week, so make sure you are registered by then!
This event is co-organized by the HSLU, HotellerieSuisse, The Tourism Office Lab and

Shape My City – Lucerne, the Results!

- January 19, 2021 in Bildung, Daten, Energie, event, Forschung, hackathon, Luzern, smart city

Almost in the same breath, following the Smart city Lab Lenzburg, we were happy to support the student team of the Master of Applied Information and Data Science at the HSLU in their organization of the Shape My City Hackdays – Luzern, a Hackathon revolving around smart city projects for Lucerne and its inhabitants. Around 110 participants gathered online, ready to hear about the 15 so-called challenges awaiting for a solution. Those issues opened by either the industry, civil society or city of Lucerne itself, were prepared in collaboration with group of students who helped defining the framework of the question and to gather and prepare relevant datasets, providing the Hackdays-teams with the material to solve the challenge itself. This event being a fully virtual workshop was not as vividly alive as what we are used to during the HSLU-student Hackdays, (melancholy…), still, the very funny slides and the clear engagement of the teams made for a very good event. Two inputs by Stefan Metzger CDO of the city of Luzern and by Benjamin Szemkus, Program manager of Smart City Switzerland, provided for background information about the strategies and perspective in the field. A lot of open data on the topic of smart cities was gathered, and last but not least and as always astonishing, the plethora of good results convinced us once again of the relevance of such collaborative endeavours. The challenge topics nicely completed or confirmed those issues addressed a few weeks before in Lenzburg. There too it was obvious that those location and user-specific solutions are actually relevant for a much broader public and regions. Nevertheless, implementing them locally still seems to be a meaningful and challenging enough step before exploring those broader fields. Most teams are willing and ready to keep on exploring the challenges with their challenge owners, we are curious to see how far the projects go from there on! Solar Energy in the City of Lucerne
Identifying similar buildings in terms of solar characteristics facilitates the approach to building owners to promote the installation of solar panels. The project group gathered over 15 different datasets, cleaning, preprocessing, analyzing and converting the datasets into desired shapes and Geospatial data formats. The prototype is as desired simply an excel file, containing the necessary information.  Disclaimer: data about the buildings are not publicly available and are to be considered as strictly confidential. Therefore, this part is private, however, the code is public. Consumer Behavior in the City of Lucerne
The project group worked on identifying Personas that will help to address the target groups on the topic of environmentally friendly behaviours. They also worked on analysing datasets to find interesting correlations and patterns concerning existing consumer behaviour. Quantification of Visitors of Cultural Events
The number of visitors from the surrounding municipalities attending events at cultural venues in Lucerne is not available yet. The project-team created a measurement tool that easily and efficiently registers the place of residence of the attendees of a cultural event. Drug Sharing Ecosystem Driven by Blockchain
This group implemented a Blockchain technology to visualizes exchanges and flows of drugs between main health stakeholders, in order to increase transparency, security and automation of drug exchanges. Open Social Spaces
Through the use of a web AR Application, locals can give a shape to their ideas. Users can place and visualize objects directly in a chosen location and vote for creations by others. 360° Stakeholder Feedback Analysis
Large urban transformation projects require thorough analysis of the needs and requirements of all stakeholders involved. This project-team therefore worked on a Dashboard allowing grouping, qualification and prioritization of the stakeholders-related needs and information, in order to make more of the available data and provide decision-makers with a fast overview by project.
2000 Watt Site – Reduction of Energy Consumption
This project-team worked on a gamification model and an app to inform and incentivize the reduction of energy consumption of households and help achieve the 2000 Watt Society goals. The system aims to compares households’ consumption as awareness is one of the motivations for new energy consumption strategies. Reduce Car Rides at Traffic Peak Hours
The project-team worked with an Agent-Based Traffic Modelling and Simulation Approach to predict and analyse the forseeable changes in traffic load for an area in planning.
They produced a SUMO file with a modeled traffic flow integrating the new conditions on the project site, as well as reflected on the tools and incentives for future traffic regulation on the area. Find Energy Inefficient Buildings in the City of Lucerne
As about 45 % energy usage is for buildings this team worked on a building-images database to identify potentially energy-intensive buildings, as well as on a gamified app-prototype to improve the quality oft he image collection, labelling and identifying thanks to collective intelligence. Interactive Visualizationfor Neighbourhood Residents
This team worked on visualizing existing data of small sub-quarters to gain insights about the facts, needs and participation interests of the residents in those neighbourhoods. The insights and visualisation will be integrated in the website to make the findings accessible to all residents. 3D Geovisualization of building energy demands
In order to identify strategic leverage areas of high energy consumption, this team combined 3D data with energy demand data and revealed regions and buildings with potential for energy optimisation. Flat finder for seniors:
This team tackled the issue of the specific needs of the elderly when it comes to finding a suitable house or apartment. They created a housing platform that analyses housing advertisements from existing platforms and filters out those fitting the needs of seniors. Netto- Null in den Quartieren?
The demo created by this group allows to determine the current CO-2 emissions in the districts of Lucerne and to visualise which heating methods the buildings are using. This is a strategic information for decision makers for energy production methods and for the inhabitants to visualize the impact of one or the other heating system on the environment.

Quality of Life in Lucerne
This working group focussed on generating new insights from an online questionnaire about Life quality in Lucerne for the city administration. They identified personas, expectations and new variables from the citizens answers.

Smart City Lab – Lenzburg 2020, the results!

- January 18, 2021 in Uncategorized

And there it went!
In the beautiful Aula Blecherain, blended by the october sun, the organizing committee gathered and broadcasted the announcements of the challenges to be worked upon during the Smart City Lab Lenzburg. Meant to take place on site, this collaborative ideation-workshop about the future of how to live together, took place online. An online event actually feels very abstract: a lonely little number at the bottom of a computer screen tells about how many other screens are switched on as well…
But as groups start forming, Slack starts beeping and conversations start resonating through the computer speakers, it suddenly takes a sense of reality: it’s happening!
People are indeed thinking together to solve a problem.
The truth is, the setting itself is a challenge: almost each step of the workshop, from team definition to problem definition, from co-creation to presentation, requires until now a different software. But soon workflows were clear to everyone and the discussions focussed on ideas, processes and results.

During those two intensive days, we were happy to welcome five short presentations and inputs on different aspects of smart city tools and smart sustainability: one smart city tool is the successful „Züriwieneu“ app, presented by its project-leader for the city of Zürich, Christian Gees. Allowing citizens to report damages and issues in the city itself, it harvests collective intelligence and links it to the appropriate services of the city.
The potential of Data Analysis for planning and optimization in cities was presented by Luis Gisler von, introducing us to their data visualization platform.
Interesting insights in a new planning and evaluation tool “Smart Site” were presented by Regina Flury vor Arx from for Energiechweiz. The general development strategy of such areas was introduced by Daniel Kellenberger, Project leader for 2000W Areale in DE-Switzerland for Energieschweiz.
And a team from the University of Bern presented “Smart Town”, an overall concept for a better management of cultural events in small to medium cities. Finally, as Virtual the event was, as Real turned the results to be.
This time again, this collaborative workshop came with a harvest of very promising contacts, collaborations, blueprints and prototypes. The very interesting aspect of the Smart City Lab Lenzburg is the bottom-up movement it involves: while made on measure for very local issues, the projects tackle national or at time even global issues. Smart-Recycling-Station
Presented a concept for a Smart Waste collection station: Solar powered waste bins with RFID & reporting function as well as a gamified interaction with users (App, entry card including a reward system). Belebung Altstadt or the Awakening of the sleeping beauty :
A concept for an App platform allows the different users of the city to find easily what the city has to offer: from everyday needs to leisure and culture, consumers find what they look for and more, while shop owners can identify the best spaces for their offer. Lenzburg electrically independant
Working towards this far vision, the team analysed the present situation in an exhaustive overview and hypothesized scenarios. Photovoltaics /ZEV im Lenz
The team produced an in depth analysis and model of the photovoltaic potential, usage and project feasibility on the roofs of a new buildings group. Energy-counselling of the future
After assessing precisely the needs and potentials of individual/sur-mesure counselling for the stakeholders of the energy sector, the team set a roadmap to create a tool harnessing the new tools (Smart-meters, IOT, AI) for individual consumption analysis in order to enhance service and encourage energy transition. Connecting neighbourhoods
The team created a blueprint for an open, modular city communication and services platform allowing inhabitants, service providers, shops, cultural and social actors to inform and exchange, motivating and enhancing fluid interaction between the city’s diverse neighbourhoods. Toolkit for urban data collection
This team created an easy to use software for a set of low cost sensors in order lower the threshold for more continuous in-stream measurements of a city’s variables (such as traffic flows). Gathering high quality data allows assessing the current situation and supports decision making.

Smart Cities on the Rise

- October 13, 2020 in Uncategorized

Cities take their innovation into their own hands!  Three hackathons in a row, tackling different aspects of urban life at different cities scales, show us how smart cities will be developed locally, by and for their inhabitants, with Open Data as raw material for their reflection and solutions. The first hackathon, Smart City lab Lenzburg, will take place either in Lenzburg or online on the 14th and 15th of November 2020 and is strongly anchored in the local community: taking place centrally in the beautiful Aula of one of the schools, it will tackle many questions that are specific to Lenzburg: for example after a new 2000W neighbourhood was build, the following questions arose: How to optimize this new way of urban living? Which lessons can we learn? Which solutions could be adopted by the rest of the city? Another challenge will be how to reunite the different parts of Lenzburg, which were cut up by the train tracks and the highway at different moments of its development? Could optimizing public transport to the different neighborhoods be part of the solution? Or making initiatives and activities in different parts of the city more visible to the rest of Lenzburg? Questions also arise from the side of the city administration and services, and from the energy provider. Solutions might be digital or not, but while their starting point is local, the solutions might concern us all. Shortly after, on the 27th and 28th of November the Shape my City – Open Data Hackdays, organized by the students of the master’s degree course in Applied Information and Data Science of the Lucerne University of Applied Science and Arts, will take place in the Laboratorium, a start-up incubator hosting the event for the second year in Lucerne. For this larger touristic and academic city, one of the focuses will be to understand the needs of the different types of inhabitants, users, visitors and stakeholders of the city. How can we shape the interaction for better communication and services? And how can we incentivise behavioural changes for a more harmonious and sustainable city life? The other topics revolve around exploring the potential of the urban fabric for energy production, climate change mitigation and here too, the model role of 2000W neighborhoods. Then, on the 29th & 30th April 2021, the Energy and Climate Hacks will take place in the city of Bern, as a parallel event to the Decarbonizing Cities Conference. During this event, smart urban living will be addressed through the lens of energy efficiency not only in Bern but also in some british cities, throwing a bridge between common issues and needs across borders. The beauty of this series of events is not only that it will allow us to go deeper in the development of solutions, but also that it exemplifies how bottom-up locally embedded initiatives actually tackle global issues and how those proposals, tested at a local scale, might help our society beyond their original purpose. These events are open and free of charge, like all our other hackdays, so take part, you too have a take on how our future smart cities should be!

Energy Data Hackdays 2020, the results!

- October 6, 2020 in 2020, Brugg, Daten, Energie, Energy, event, Forschung, hackathon, Hackdays, machine learning, Optimization

The excitement of the new edition of the Energy Hackdays in Brugg was a bit special this year. Besides the usual sweet little heart pinch of the leap into a new group, the discovery of the challenges and the satisfaction of seeing this particular event repeating for the second time in Brugg, there was happiness but also respect about having the Energy Hackdays taking place mostly on site at the Hightech Zentrum Aarau. So we met in person and as far as we can say, it has been worth it! 13 really ambitious and technical challenges met 85 participants who were nonetheless ambitious and highly qualified! Two big themes emerged this year and predictions based on machine learning was one of them. Predicting performance, usage patterns, anomalies or even failure, in order to plan, use and maintain infrastructure more accurately.  Reaching these goals of course allows a much better resource and production management. The other big topic covered by several challenges was the question of visualization and interfaces, especially for smart-meters: How to help users, scientists, producers or end-consumers to read flows of data and allow them to interpret and decide or react appropriately to a given data supported information? How can they analyse and control different aspects of their infrastructure or installation? Tangent to this topic were challenges that attempted to allow a market overview for the consumer, in this case the market of E-Car charging stations, or to visualize the overall live electricity consumption of Switzerland. As far as I can judge and from what I heard from the challenge owners, the results blew us away! While the project descriptions might be a bit less accessible to the public than some from past hackdays, the approaches and results certainly correspond to a present need in the energy industry and comfort us in the conviction that hackathons and collaborative work with Open Data do support high-end innovation.
We were also very lucky to welcome the team of Campus 21 who harvested the visions of some of the participants for the future of Open Energy Data. See you all next year!
The 13 projects developed during the hackdays District Heating Optimisation   Decrease gas peak boiler runtime due to better storage operation: heat demand forecast, improved storage control, better storage operation. PV self-consumption optimization Evaluate and optimize trade-offs in the design of battery storage for PV systems, so our customer can select, whether they want the most economical battery solution or maximise their autarky. Our tools calculate the maximized economic benefit over lifetime. Read your own Smart Meter Read your Smart Meter through the local Customer Information Interface (CII) and visualize your consumption. Design a dashboard with the most useful information. Cheapest Charging around In order to develop the GIS platform of the Swiss Federal Office of Energy (SFOE) further: Add price information to the charging stations and find the cheapest option around for electric car drivers. Energy Data Visualization     Creating a platform for strategic decision making based on data from the Energy Science Center of ETH Zürich. e-mobility behavior analysis We analysed the charging patterns of private vs public e-cars charging stations. This could provide good hints for a further automated customer segmentation, help prediction of behavior changes for the load-curve vs renewable electricity production & help customers optimize their charging habits. Empower the People with Smart Meter Data Smart Meter Additional Use Cases: Novel energy certificate assesses where and how strongly building / user behaviour causes deviation from theoretical / optimum behaviour. ML Wind Power-Prediction Machine Learning Wind Turbine Power Curve Prediction: we compared constructor provided production projections with actual production curves with the goal to improve site-specific  performance prediction of wind turbines. – Development of machine learning algorithms  (or tools/aps) for improved site-specific  performance prediction of wind turbines. – Development of alternative algorithms e.g. Artificial Neural Networks – Inputs: wind velocity, turbulence intensity, shear factor (alpha) Put CH on the Electricity Map Help meet the Paris Convention goals to achieve net 0 by 2050, less than 2 tonnes CO2 per person! We want to raise awareness around energy use and consumption by putting Switzerland on the map at and put its open data API to use. Distributed analytics for asset management The goal is to create a decision support tool for asset managers, using AI to predict how power transformers will fail, and what to watch out for. Anomaly Detection in Smart Meter Data We developed EDA and algorithms for the Anomaly Detection in Smart Meter Data challenge. We developed several approaches for detecting anomalous days based on mean and std of the readings during the day and for detecting single anomalous readings. These models can be integrated in the second part  of the challenge MeterOS: Smart Meter Anomaly Detection Create a model for Smartmeter Anomaly detector and their visualization. Unleashing the Swiss Smartmeter’s CII Empower citizens to use their energy data. Using the smartmeter’s CII beyond visualisation to steer local consumption.We developed a concept and PoC roadmap to provide a “universal” adapter from smart meters to home IoT platforms.