
This workshop on Sept. 30th, 2019 in Cyprus will provide cutting edge insights and extensive technical information in the area of next-generation PV performance monitoring systems that leverage machine learning and data analytics to ensure improved reliability and optimized levelised cost of electricity (LCoE).
Participants will get in-field knowledge of PV monitoring and high quality data-acquisition, leveraging machine learning for energy analytics and latest technology developments to quantify performance losses and optimize the LCoE though cost-effective automated reactive and proactive O&M. The workshop is intended for Project developers and EPCs, O&M service providers, Investors, Consultants and Researchers in the renewable energy sector.
For more details and information visit our IPERMON Project page.
More articles
The 35th Dresden Bridge Building Symposium 2026
Join us on March 18–19, 2026, in Dresden, Germany, for the 35th Dresden Bridge Construction Symposium (DBBS) - one of the most prestigious events in bridge engineering.
Read more...Gantner Instruments at Oil & Gas Asia (OGA) 2025
Join Gantner Instruments at Oil & Gas Asia (OGA) 2025, one of Asia’s premier events for energy innovation, taking place from September 2–4 at the Kuala Lumpur Convention Centre. Discover our precision measurement solutions designed to optimize performance, safety, and reliability across the oil, gas, energy, and petrochemical sectors.
Read more...Symposium on International Automotive Technology
The Symposium on International Automotive Technology (SIAT 2026) returns to Pune from January 28–30, bringing together engineers, researchers, and technical leaders shaping the future of safe, sustainable mobility.
Read more...Austrian Railways Measurement Vehicle Detects Signal Magnets Using the Q.station Test Controller
The Austrian Federal Railways (ÖBB) continuously checks the quality of its network using special measurement vehicles. Measurement data is required as the basis for maintenance and renovation work; a precise geographic reference data is therefore important.
Read more...