Big Data and the Smart Grid: Driving Energy Policy Priorities

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The integration of big data into the smart grid infrastructure is paving the way for optimized energy policy priorities. With the world's energy consumption projected to rise significantly, challenges in the energy sector such as system integration, siloed systems, unstructured data, and platform capacity need innovative solutions. Options for consumers, enterprises, and grid operations present tailored approaches for leveraging big data, real-time analytics, operational intelligence, and crisis management. A phased approach encourages collaboration and investment for a sustainable and efficient energy future.

  • Big Data
  • Smart Grid
  • Energy Policy
  • System Integration
  • Operational Intelligence

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  1. Big Data & the Smart Grid Julia Stockdale-Otarola Alana Rodrigo Jesselynn White Cyrus Jadun Ram Narayanan Jon Keesecker

  2. Big Data Will Drive Policy Energy Policy Priorities: Markets: Supply & Affordability Security Sustainability Why Smart Grid? World energy consumption is expected to increase by 25% from 2010 to 2040 Outages/power quality issues cost American business $100 billion/year

  3. Challenges in the Energy Sector Systems Integration Siloed Systems Unstructured Data Platform Capacity

  4. Option 1: Consumers Privacy: a minimal concern Building Energy Management Remote Control Behavioral Analytics Affordability Recommendation: Detailed Reports

  5. Option 2: Enterprises Potential Real-Time Analytics Complete Situational Awareness Business Intelligence Challenges Personnel, Integration, Computing, Budget Recommendation: collaboration, innovation, and investment in storage capacity

  6. Option 3: Grid Operations Grid Optimization & Operational Intelligence Crisis Management Asset Management Detection & Correction Energy Theft Weather Implications Recommendation: investment into operations management

  7. Recommendation: A Phased Approach Grid Consumers Enterprises Operations

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