🌟 Our event unveiling the achievements of the MORE project has wrapped up! A productive engagement with MORE stakeholders, unveiling groundbreaking outcomes, and exploring the future of RES services. 📷 #RenewableEnergy#MOREProject
✨Hackathon success! Our Incremental ML hackathon with IBM SAIL has concluded, and the results are nothing short of amazing. 🙌 Thank you to all participants for your dedication and creativity! #MORE2020
📢Join the 2nd MORE Webinar:
Incremental machine learning models for high-frequency big data
🔴Free registration: https://t.co/yvKGShQiL5
🔴Find out more: https://t.co/mMKNbdo9LL
#machinelearning#webinar#data#RES
📢New webinar: #Data-driven #soiling detection in #PV modules
🔴Ioannis Psarros will guide you through a solution to the problem of estimating the soiling ratio in photovoltaic (PV) modules.
🔴Friday 31 March, 11.00 EET
🔴Read more (register free): https://t.co/CJxFAkBn51
Watch the IMLA series: Health monitoring challenges in Renewable Energy Sources (RES) sector
S. Tirupathi, G. Giannopoulos, D. Patel, M. Terrovitis, D. Salwala, and N. Raftopoulos discuss about health monitoring of RES installations
📽️watch here: https://t.co/CAWXWwN9x2
Shivani presenting "Distributed Incremental Machine Learning for Big Time Series Data" at the 2022 IEEE International Conference on Big Data Industry and Government Program, authored by D. Salwala, S. Tirupathi, B. Quanz, W. Gifford, S. Siegel, V. Ekambaram, and A. Jati.
Shivani presented "Prequential Model Selection for Time Series Forecasting based on Saliency Maps" at the IEEE International Conference on Big Data 2022. The paper was co-authored by S. Tirupathi, D. V. Salwala, I. Dusparic, and E. Daly.
https://t.co/ZaqXrsPQS5
📢The second @IBM -@athenaRICinfo colloquium series on the industry challenges due to the exponential growth of #time-series data is here! The event will focus on the challenges in the health monitoring of #RES installations.
info & registration:
https://t.co/YJmDuGWgCc
Watch our new demo video and get to know the features of MORE's #Visualization Platform for #Renewable#Energy Analytics!
More info: https://t.co/PRsIOCf4DS
📢Real-Time #Renewable Energy #Hackathon!
Upgrade your #AI and #MachineLearning skills on real-time data! Learn MORE's new streaming tools and methods for:
🔴solar-park optimization
🔴wind turbine boosting
🔴visual exploration
Register: https://t.co/5FgQ7ZuF0k
Manolis Terrovitis presented the achievements of MORE to graduate students of the University of Ioannina and explored the possible liaisons between MORE and the Smart City Bus project
https://t.co/fjaDHbaMIq
MORE's October Plenary meeting was hosted by the
Aalborg University.
In the context of this productive meeting: we discussed integration issues between the modules, and we reviewed the first two years of the project
#energydata#EnergyData
🏆Congrats to MORE's participants, Ambrish Rawat and Giulio Zizzo, for winning 2nd place at the FETS 2022 Challenge!
Learn more:
🔴https://t.co/Vv37rizUvR
🔴https://t.co/pFTKkizHdl
🔴https://t.co/IwTiunEn0r