Grid Analytics Europe 2018, 25-27 September 2018, London

LONDON, August 13, 2018 /PRNewswire/ --

Big data management, analytics and visualisation to power the smart utility

The 4th annual Grid Analytics Europe 2018 conference, exhibition and networking forum, organised by Smart Grid Forums, draws together 120+ utility big data professionals for 3 intensive days of implementation reviews. 18+ utilities will share how they are implementing cutting-edge tools and technologies for advanced data collection, management, analysis and visualisation to deepen their insights into grid performance, fraud prevention, and new product development in preparation for the energy transition.

Alongside the case-study programme, there is a 2-hour Cloud tutorial, a technology innovation panel discussion, a series of intimate end-user roundtables, a live demo lab of the latest systems and solutions, an exhibition area displaying 10+ state of the art technology suppliers, and an evening networking reception open to all participants.

"Since the original launch of this event in 2013 we have mapped utilities' progress with big data and recognise that many are now beyond the 'enthusiastic beginner' stage and have entered the 'disillusioned learner' phase of their big data implementation" says Mandana White, Director at Smart Grid Forums. "Our intention is to provide a programme of inspiration, information and insights, that will help propel utility big data projects into 'peak performance'. We believe this year's programme builds up on the previous years and provides the perfect benchmarking, technology scouting, and partnering forum for those serious about pushing their big data plans to the next level".

Discussion topics include 

• Unlocking Value - Integrating advanced big data platforms and tools into legacy infrastructures and implementing data governance procedures to unlock the full value of your big data system
  
• Data Management - creating an effective data cleansing and processing procedure to maximise the value of smart meter, sensor, IoT, SCADA, GIS, weather, social media and other data
  
• Data Analytics - effectively combining multiple streams of structured and unstructured, complex and simple, real-time and historical data, and applying advanced models and algorithms to create detailed, accurate and actionable insights
  
• Data Visualisation - translating complex data-driven insights into compelling visual intelligence that communicate with impact for a variety of stakeholders
  
• Real-time Data - establishing a real-time data management and analysis framework to process data in the order of milliseconds to support daily network activity