LUMO Energy Optimizes Revenue and Operations

LUMO Energy has considerable operational experience in the peak generation sector of the National Electricity Market in Australia. The energy provider wanted to extend the capacity of its SCADA system in order to enhance its ability to react to price fluctuations in real time and to maximize revenue. In addition, with the goal of increasing cost savings and operational efficiency, LUMO Energy was looking for a solution that would give real-time visibility into the infrastructure of its many power stations.

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  • SUPPLIER
  • Splunk
    Splunk turns Machine Data into answers. Regardless of your organization’s size and industry, Splunk can give you the answers you need to solve your toughest IT, security, and business challenges—with the option to deploy On-Premises, in the cloud, or via a hybrid approach.
  • TECHNOLOGIES
  • Analytics & Modeling - Big Data Analytics
  • INDUSTRIES
  • Utilities
  • ABOUT CUSTOMER
  • LUMO Energy is an Australian energy retailing business with several power stations situated throughout Australia.
  • CUSTOMER NAME
  • LUMO Energy
  • CONNECTIVITY PROTOCOLS
  • SOLUTION
  • The energy provider turned to the Splunk platform to automate its monitoring of base electricity prices and predictions. Splunk software's reporting, analytics, and visualization capabilities allowed LUMO Energy to enhance its troubleshooting and gain real-time visibility into event correlation.

  • DATA COLLECTED
  • Electricity Meters, Energy Consumption Rate, Operating Cost, Operation Performance, Parts and material pricing
  • OPERATIONAL IMPACT
  • Impact #1
    [Management Effectiveness - Operation Transparency]
    Improved operational visibility through real-time reporting and optimized revenue through the ability to react to real-time price fluctuations.
    Impact #2
    [Efficiency Improvement - Energy]
    The amount of energy used in production processes can be lowered and made more efficient.
    Impact #3
    [Data Management - Data Analysis]
    Cloud solutions enable aggregation of 'big data' to enable more robust analysis and lower costs.
  • QUANTITATIVE BENEFIT
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