{"event":{"community_url":"","ends_at":"Fri, 13 Sep 2024 15:00:00 GMT","gallery_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/1/A28G2OCMQ88BEMTL3LGDE3Q0/2309EDHDTag1321280.JPG","has_finished":true,"has_started":false,"hashtags":"#EnergyHackdays","hostname":"Fachhochschule Nordwestschweiz","id":8,"location":"Campus Brugg-Windisch","location_lat":47.48172,"location_lon":8.21126,"logo_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/1/7T74AQ95UG539MTCT5DK8KQH/edh24bulb.png","name":"Energy Data Hackdays 2024","starts_at":"Thu, 12 Sep 2024 09:00:00 GMT","summary":"","webpage_url":"https://energydatahackdays.ch/english"},"projects":[{"autotext_url":"https://github.com/SFOE-Hackathons/EnergyDataHackdays2024-BalanceEnergyPrices","category_id":"","category_name":"","contact_url":"https://github.com/SFOE-Hackathons/EnergyDataHackdays2024-BalanceEnergyPrices/issues","created_at":"2024-08-22T09:58","download_url":"https://github.com/SFOE-Hackathons/EnergyDataHackdays2024-BalanceEnergyPrices/releases","event_name":"Energy Data Hackdays 2024","event_url":"https://hack.energy.opendata.ch/event/8","excerpt":"https://youtu.be/vhdChUOw8x4?t=5610\r\n\r\nThe original [challenge is here](https://github.com/SFOE-Hackathons/EnergyDataHackdays2024-BalanceEnergyPrices/blob/main/CHALLENGE.md). See also details of a [Data Expedition](https://hack.energy.opendata.ch/project/15) for continual improvements to data availability.\r\n\r\nhttps://hack.energy.opendata.ch/project/15\r\n\r\n### Contact\r\n\r\nBundesamt f\u00fcr Energie, Lucas Tochtermann\r\n","hashtag":"","id":124,"ident":"13","image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/1/MVF87PF8A6MZOA0KNZIHJJI5/bundesamt_fuer_energie_logo.jpg","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","maintainer":"LucasT","name":"When do Balance Energy Prices Skyrocket?","phase":"Share","progress":50,"score":93,"source_url":"https://github.com/SFOE-Hackathons/EnergyDataHackdays2024-BalanceEnergyPrices","stats-commits":10,"stats-during":44,"stats-people":6,"stats-sizepitch":412,"stats-sizetotal":8367,"stats-total":54,"stats-updates":47,"summary":"","team":"LucasT, marino_eisenegger, oleg, alfa_diopwicki, peter_janes, andrin_keller","team_count":6,"updated_at":"2024-09-15T18:55","url":"https://hack.energy.opendata.ch/project/124","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/252/C35DV4WRKJ16RX9W0O90MUN9/When_do_Balance_Energy_Prices_Skyrocket_13_09_2024.pdf"},{"autotext_url":"","category_id":"","category_name":"","contact_url":"","created_at":"2024-08-22T09:58","download_url":"","event_name":"Energy Data Hackdays 2024","event_url":"https://hack.energy.opendata.ch/event/8","excerpt":"Develop a GenAI solution using the OpenAI API, which can provide the end user with the correct detailed electricity tariffs of all individual products of each electricity provider (including the break-down of prices into the different components) for every municipality in Switzerland.\r\n\r\nhttps://youtu.be/vhdChUOw8x4?t=1342\r\n\r\n![20240910 14 05 49Strompreise Schweiz und 4 weitere Seiten  Gesch\u00e4ftlich  Microsoft Edge.png](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/opene...","hashtag":"","id":123,"ident":"02","image_url":"","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","maintainer":"","name":"Watts & Bots: Energizing Swiss Tariff Transparency with AI","phase":"Prototype","progress":30,"score":53,"source_url":"","stats-commits":0,"stats-during":13,"stats-people":12,"stats-sizepitch":4961,"stats-sizetotal":4961,"stats-total":26,"stats-updates":13,"summary":"","team":"lukas_mona, angelos_selviaridis, ggcaponetto, shushi_luo, michael_mazourik, maurice_sifrig, stefano_spadaccia, tom_strosslin, marina_gonzlez_vay, mathias_niffeler, davidsuter, patrick_ploesser","team_count":12,"updated_at":"2024-09-15T18:34","url":"https://hack.energy.opendata.ch/project/123","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/203/MUI8ZXHMF9TOA266XJ4BPPOR/Watts__Bots_Energizing_Swiss_Tariff_Transperency_with_AI.pptx____Schreibgesch\u00fctzt.pdf"},{"autotext_url":"","category_id":"","category_name":"","contact_url":"","created_at":"2024-08-09T07:46","download_url":"https://energy-hackday-ch4.wundrig.ch/","event_name":"Energy Data Hackdays 2024","event_url":"https://hack.energy.opendata.ch/event/8","excerpt":"In many households, the potential for energy efficiency often goes unrealized. Old and inefficient appliances, like outdated refrigerators, are kept for years, leading to unnecessary energy consumption and higher electricity bills. Households lack the tools and knowledge needed to identify these inefficiencies and the potential benefits of upgrading to more energy-efficient alternatives.\r\n\r\nhttps://youtu.be/vhdChUOw8x4?t=2063\r\n\r\n[Presentation in PowerPoint \u00f6ffnen](https://1drv.ms/p/s!AutzzNuFL-g...","hashtag":"","id":116,"ident":"04","image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/3/7KD7NI9CAFDS2AXDRTYEWMEX/ufer34f.png","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","maintainer":"","name":"Mr. & Mrs. Refrigerator's Data Duel","phase":"Prototype","progress":30,"score":52,"source_url":"","stats-commits":0,"stats-during":13,"stats-people":8,"stats-sizepitch":2271,"stats-sizetotal":2336,"stats-total":20,"stats-updates":12,"summary":"Rewarding Households for Saving Energy with an Open Data Approach ","team":"diana_petrovic, petra_sch\u00e4r, nicole_khni, nair_pujagic, manuel_artero, frederic_nachbauer, andreas_schuth, timo_kropp","team_count":8,"updated_at":"2024-09-15T18:36","url":"https://hack.energy.opendata.ch/project/116","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/1/N8FW4XAU0EBHKIT7PL2DYSS8/Challange4.pdf"},{"autotext_url":"","category_id":"","category_name":"","contact_url":"","created_at":"2024-08-13T13:56","download_url":"","event_name":"Energy Data Hackdays 2024","event_url":"https://hack.energy.opendata.ch/event/8","excerpt":"Develop a predictive model to forecast control energy activations for grid stability. Specifically, participants are tasked with estimating the daily activation volumes (in MWh) of automatic Frequency Restoration Reserve (aFRR) activations in Switzerland. This includes distinguishing between positive and negative activations. Additionally, participants should consider how future scenarios - such as the expansion of renewable energy, climate change, and the reduction of fossil fuels - might impac...","hashtag":"","id":118,"ident":"03","image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/3/QN9N195LZTBJS5WHVR6J4MK8/bkw.jpg","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","maintainer":"","name":"Predicting Control Energy Volumes for Grid Stability ","phase":"Prototype","progress":30,"score":48,"source_url":"","stats-commits":0,"stats-during":10,"stats-people":8,"stats-sizepitch":3375,"stats-sizetotal":3375,"stats-total":14,"stats-updates":5,"summary":"","team":"brice_repond, remo_steiner, rob_mills, raphael_vogt, lea_bchlin, jill_huber, fabian_gottschlich, solt_kovacs","team_count":8,"updated_at":"2024-09-15T18:35","url":"https://hack.energy.opendata.ch/project/118","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/233/ZPUDTUTNKXDEXG84AKTTM2ZI/Predicting_Control_Energy_Volumes_for_Grid_Stability.pdf"},{"autotext_url":"","category_id":"","category_name":"","contact_url":"","created_at":"2024-09-02T06:28","download_url":"","event_name":"Energy Data Hackdays 2024","event_url":"https://hack.energy.opendata.ch/event/8","excerpt":"District heating networks provide heat to buildings through a network of underground pipes. Currently 80% of buildings in Switzerland still use oil and gas for heating, so we need new district networks to replace this with clean energy coming from renewable sources like heat pumps or waste heat from data centers.\r\n\r\nhttps://youtu.be/vhdChUOw8x4?t=3066\r\n\r\n[Presentation in Google Drive \u00f6ffnen](https://docs.google.com/presentation/d/1xB-F6NdLU-FJN-eRn2ci_YviFTbA9mDdQMdacFXtRpI/edit#slide=id.p)\r\n\r\n#...","hashtag":"","id":127,"ident":"06","image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/3/U8KP589Y8DW8ZRB37F1TPE3C/CE66FDE94902492EABE25E0F1424111C.jpeg","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","maintainer":"","name":"Applying graph theory to clean energy districts","phase":"Sketching","progress":20,"score":47,"source_url":"","stats-commits":0,"stats-during":22,"stats-people":10,"stats-sizepitch":1627,"stats-sizetotal":1665,"stats-total":30,"stats-updates":19,"summary":"Flow optimisation across heat networks","team":"jonathan_chambers, yuequn_zhang, tristan_montalbetti, kilian_werder, tyler_anderson, leiv_andresen, armin_begic, mathias_steilen, lukas_ringlage, sari_issa","team_count":10,"updated_at":"2024-09-15T18:46","url":"https://hack.energy.opendata.ch/project/127","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/1/4NNKVVMH3GXBPL2JS19XM1OB/EnergyHackDaysPlaneto.pdf"},{"autotext_url":"","category_id":"","category_name":"","contact_url":"","created_at":"2024-08-12T12:34","download_url":"","event_name":"Energy Data Hackdays 2024","event_url":"https://hack.energy.opendata.ch/event/8","excerpt":"The primary goal of this challenge is to develop an innovative solution that leverages public smart meter data to generate clusters of load profiles, highlighting patterns into energy consumption. Participants will be tasked with creating an innovative approach that not only identifies and categorizes these clusters but also provides actionable insights for optimizing energy use.\r\n\r\nhttps://youtu.be/vhdChUOw8x4?t=3447\r\n\r\n# Challenge\r\n\r\n**Objectives**\r\n\r\n* Main Objective: Develop a solution to ge...","hashtag":"","id":117,"ident":"07","image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/3/ZE5WTW2B1U8CZTDINNG4C2S1/Group_Structure.jpg.jpeg","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","maintainer":"","name":"Load Profile Clustering","phase":"Sketching","progress":20,"score":37,"source_url":"","stats-commits":0,"stats-during":8,"stats-people":7,"stats-sizepitch":1387,"stats-sizetotal":1387,"stats-total":12,"stats-updates":4,"summary":"","team":"fiona_turnerhehlen, yanlhomme, jory1203, steffen_beermann, maksim_kapustin, roman_sonder, tobias_graml","team_count":7,"updated_at":"2024-09-15T18:47","url":"https://hack.energy.opendata.ch/project/117","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/173/ZH6LNQU6OFLTAIXCOIDS9DCW/EDHD_2024_Clustering_1.pdf"},{"autotext_url":"","category_id":"","category_name":"","contact_url":"","created_at":"2024-08-21T07:31","download_url":"","event_name":"Energy Data Hackdays 2024","event_url":"https://hack.energy.opendata.ch/event/8","excerpt":"A research project between Coop, AEW and HSLU investigates the impacts of fleet electrification of logistic trucks on the local electrical infrastructure as well as the upstream power grid. A key aspect driving the needs for electrical infrastructure is a better understanding of the charging needs of a e-truck fleet, which reveals the energy required to maintain the operations of the fleet, required grid capacity, the battery sizes required for different routes etc. Moreover, it shall be analyze...","hashtag":"","id":122,"ident":"05","image_url":"","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","maintainer":"","name":"Impact of logistic truck electrification on electrical infrastructure","phase":"Sketching","progress":20,"score":34,"source_url":"","stats-commits":0,"stats-during":6,"stats-people":4,"stats-sizepitch":1224,"stats-sizetotal":1224,"stats-total":8,"stats-updates":3,"summary":"","team":"severin_nowak, melanie_mathys, Bill, kenny_floria","team_count":4,"updated_at":"2024-09-15T18:46","url":"https://hack.energy.opendata.ch/project/122","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/103/GMALHWUKMJ2J7YUZWO1U0004/EDH24_5.pdf"},{"autotext_url":"","category_id":"","category_name":"","contact_url":"","created_at":"2024-08-05T08:31","download_url":"","event_name":"Energy Data Hackdays 2024","event_url":"https://hack.energy.opendata.ch/event/8","excerpt":"The production of a solar system (photovoltaic system, PVA) depends on many factors. However, under ideal conditions, every solar system has a characteristic output curve that depends on the characteristics of the system, such as orientation and shading.\r\n\r\nhttps://youtu.be/vhdChUOw8x4?t=4742\r\n\r\n![Solarify PV Signatures.png](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/3/4XMRZ7N7YFMV5L09C5C44N62/Solarify_PV_Signatures.png)\r\n\r\n# Challenge\r\n\r\n**Data**\r\n\r\nF...","hashtag":"","id":114,"ident":"11","image_url":"https://s3.dribdat.cc/odch/a/2019/UYFZX7AV6QUCFB24GS9QCODA/solarify_gmbh_logo.jpg","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","maintainer":"","name":"Determining the signature of a solar system ","phase":"Sketching","progress":20,"score":34,"source_url":"","stats-commits":0,"stats-during":5,"stats-people":3,"stats-sizepitch":1370,"stats-sizetotal":1370,"stats-total":7,"stats-updates":4,"summary":"","team":"magnetilo, njanakiev, laurent_heirendt","team_count":3,"updated_at":"2024-09-15T18:50","url":"https://hack.energy.opendata.ch/project/114","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/264/M9PBWEXA5Z55MU8XMBGEXN0K/20240913_challenge_results.pdf"},{"autotext_url":"","category_id":"","category_name":"","contact_url":"","created_at":"2024-08-08T09:18","download_url":"","event_name":"Energy Data Hackdays 2024","event_url":"https://hack.energy.opendata.ch/event/8","excerpt":"https://youtu.be/vhdChUOw8x4?t=3870\r\n\r\n[SwissgridChallenge  PV Installation Angles.pdf](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/243/CBHNB0A73Q5M5XAJWUOTT02W/SwissgridChallenge__PV_Installation_Angles.pdf)\r\n\r\n![1s2.0S0306261924000734gr2 lrg1200x1016.jpg](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/3/RTTKOVC9655VDW83PDHEETJD/1s2.0S0306261924000734gr2_lrg1200x1016.jpg)\r\n\r\n# Challenge\r\n\r\n**Problem/current situa...","hashtag":"","id":115,"ident":"08","image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/3/K5GP1ZVZQ4X09RDNNAYRZPHO/swissgrid.jpg","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","maintainer":"","name":"Prediction of PV installation angles ","phase":"Research","progress":10,"score":30,"source_url":"","stats-commits":0,"stats-during":13,"stats-people":10,"stats-sizepitch":1636,"stats-sizetotal":1636,"stats-total":19,"stats-updates":8,"summary":"","team":"ad_rupp, dominique_luder, c\u00e9line_dupuis, patrick_schrmann, lstiefelm, andrej_bernhard, omar_55, fabwu, chiwenela, peter_robineau","team_count":10,"updated_at":"2024-09-15T18:49","url":"https://hack.energy.opendata.ch/project/115","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/243/CBHNB0A73Q5M5XAJWUOTT02W/SwissgridChallenge__PV_Installation_Angles.pdf"},{"autotext_url":"","category_id":"","category_name":"","contact_url":"","created_at":"2024-08-13T14:04","download_url":"","event_name":"Energy Data Hackdays 2024","event_url":"https://hack.energy.opendata.ch/event/8","excerpt":"In a collaboration between SAK and HSLU, heat pumps and electric boilers in a pilot area were retrofitted with sophisticated metering and control hardware. Aim of the project is to monetise demand side flexibility through a local flexibility market platform. Demand side flexibility shall be used in a coordinated way for DSO peak shaving, BRP portfolio optimization, as well as TSO balancing services.\r\n\r\nhttps://youtu.be/vhdChUOw8x4?t=5191\r\n\r\n![Titelbild v00](https://bucketeer-036aa605-c047-4623-8...","hashtag":"","id":121,"ident":"12","image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/1/TU6TXWJ7I4NWBH8ZE08ISHSG/Titelbild_v00.jpg","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","maintainer":"","name":"Characterisation of demand side flexibility ","phase":"Research","progress":10,"score":25,"source_url":"","stats-commits":0,"stats-during":4,"stats-people":4,"stats-sizepitch":1090,"stats-sizetotal":1090,"stats-total":8,"stats-updates":4,"summary":"","team":"andre_eggli, louis_hurschler, mario_gersbach, thomas_birchler","team_count":4,"updated_at":"2024-09-15T18:52","url":"https://hack.energy.opendata.ch/project/121","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/107/XR2065XU76YPMXLP95MMRAGZ/Endpitch_ENFLATE_Challenge_Energy_data_Hackdays_HSLU_and_SAK_v00.pdf"},{"autotext_url":"","category_id":"","category_name":"","contact_url":"","created_at":"2024-08-13T14:00","download_url":"","event_name":"Energy Data Hackdays 2024","event_url":"https://hack.energy.opendata.ch/event/8","excerpt":"This challenge invites you to predict the load on the Swiss transmission grid, for the next week, in hourly resolution. The load forecast is used to support some of the core operational tasks in Swissgrid, for example, from weekly planning to near-real-time operation. Load can be influenced by many factors on the grid, including historical load, weather, generations, seasonality, etc. You will get hands on the actual historical load data and other important inputs data to generate week-ahead loa...","hashtag":"","id":119,"ident":"09","image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/3/Y3CX7XB4L5ECNQ8EF0KXTOHO/swissgrid.jpg","is_challenge":false,"is_webembed":false,"logo_color":"","logo_icon":"","maintainer":"","name":"Week-ahead Load Forecasting","phase":"Research","progress":10,"score":25,"source_url":"","stats-commits":0,"stats-during":9,"stats-people":9,"stats-sizepitch":863,"stats-sizetotal":863,"stats-total":11,"stats-updates":1,"summary":"","team":"jolivier, morelv, sandy_duruz, samuel_bars, GCMeccariello, yanis_lupberger, noe_duruz, mathias_moser, J","team_count":9,"updated_at":"2024-09-15T18:49","url":"https://hack.energy.opendata.ch/project/119","webpage_url":""},{"autotext_url":"","category_id":"","category_name":"","contact_url":"https://ee.ethz.ch/de/departement/personen-a-bis-z/person-detail.Mjg3Mjc2.TGlzdC8zMjc5LC0xNjUwNTg5ODIw.html","created_at":"2024-08-22T09:58","download_url":"","event_name":"Energy Data Hackdays 2024","event_url":"https://hack.energy.opendata.ch/event/8","excerpt":"We aim to bridge the gap between end-users and the operational data of distribution grids by providing real-time, accessible visualizations of grid loads. We bring a hands-on challenge that leverages a hardware setup featuring a Janitza power meter, commonly used within distribution grids, alongside a local server infrastructure to read and store data in InfluxDB.\r\n\r\nhttps://youtu.be/vhdChUOw8x4?t=919\r\n\r\n# Challenge\r\n\r\nOur challenge is to create a user-friendly web interface that visualizes the ...","hashtag":"","id":126,"ident":"01","image_url":"","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","maintainer":"benjamin_sawicki","name":"Real-Time Grid Load Visualization and Consumer Impact Analysis","phase":"Project","progress":5,"score":23,"source_url":"https://github.com/Mardawa/energy-traffic-light","stats-commits":0,"stats-during":11,"stats-people":6,"stats-sizepitch":1347,"stats-sizetotal":1347,"stats-total":15,"stats-updates":5,"summary":"","team":"benjamin_sawicki, matthias_eifert, vitalii_znak, quoc_bao_luu, varsha_behrunani, david_guillaume","team_count":6,"updated_at":"2024-09-15T18:31","url":"https://hack.energy.opendata.ch/project/126","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/251/LF7R07F9XDV4S12F0IH9BLIW/presentation_1.pdf"},{"autotext_url":"","category_id":"","category_name":"","contact_url":"","created_at":"2024-08-13T14:02","download_url":"","event_name":"Energy Data Hackdays 2024","event_url":"https://hack.energy.opendata.ch/event/8","excerpt":"**What is the challenge?**\r\n\r\nThis is a coding challenge. The goal is to design a library in Python to interact with energy system models data. It will involve identifying the needs from the modelers and the limitations a library like this will inevitably have. The idea is to provide the different models with a common interface that can read data from different sources and formats.\r\n\r\n**Why?**\r\n\r\nOur software, Nexus-e, currently orchestrates five different models to solve energy system optimizat...","hashtag":"","id":120,"ident":"10","image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/3/5IJAGU4A7HEHGDCISMGWBXME/image.imageformat.logo.874849183.png","is_challenge":true,"is_webembed":true,"logo_color":"","logo_icon":"","maintainer":"","name":"Orchestrating energy system simulations from different models","phase":"Challenge","progress":0,"score":1,"source_url":"","stats-commits":0,"stats-during":0,"stats-people":2,"stats-sizepitch":1310,"stats-sizetotal":1310,"stats-total":6,"stats-updates":4,"summary":"","team":"matthieu_boubat, jakob_sauer","team_count":2,"updated_at":"2024-09-10T12:33","url":"https://hack.energy.opendata.ch/project/120","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openenergydata/199/5CWTCMEM85R1NQQ1KZZ3MI72/Energy_Data_Hackdays_ROT__ESC.pdf"}]}