
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
Gantner Instruments Environment Solutions celebrates its 10th company anniversary and starts with a ground-breaking ceremony for the construction of another company building
Over the past ten years, Gantner Instruments Environment Solutions GmbH has grown into a global market leader of monitoring and control solutions for large-scale solar systems.
Read more...Gantner on expansion course
In 2014 Gantner Instruments GmbH moved into its new, energy-efficient company building in Schruns. The modern building with an area of 1000 m² has been designed from the beginning to offer the possibility of extension. This option was used in 2017 by the company, which has a steady double-digit growth per year since its inception.
Read more...Streamlining Data Acquisition at CERN with Blinky-Lite and Gantner Instruments
Safe, secure, and traceable data acquisition is essential in complex, large-scale scientific environments like the European Organization for Nuclear Research (CERN). Reliable remote access is critical to supporting the diverse team members in their data acquisition (DAQ) setup and operations. Collaborating with the Blinky-lite team, we have implemented a test setup that successfully navigates these challenges in constrained environments.
Read more...Three steps to the Internet of Things (IoT) or: Where is analog big data derived from?
The break-up into the new era of Internet of Things (IoT), industry 4.0 or cloud computing takes an impressive pace and is also in several industrial applications irresistible. The industry with its huge amount of machines and components of divers size, value and function is faced by one big challenge: data from all these assets needs to be gathered and analyzed.
Read more...