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Harnessing Artificial Intelligence for Enhanced Energy Management in the Digital Economy

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The article presents materials from the 1st International Scientific and Practical Conference on Artificial Intelligence and Digital Economy, held in December 2017. It discusses advancements in AI, challenges in implementing strategies for technological leadership in Russia, and proposes directions for future development in this high-tech field.
  • main points
  • unique insights
  • practical applications
  • key topics
  • key insights
  • learning outcomes

  • • main points

    • 1
      Comprehensive overview of AI advancements and their implications for the economy.
    • 2
      In-depth analysis of the challenges faced by Russia in AI implementation.
    • 3
      Proposes actionable strategies for integrating AI into national economic policies.

  • • unique insights

    • 1
      Highlights the importance of adapting international AI practices to Russian business.
    • 2
      Discusses the role of venture capital in fostering AI development in Russia.

  • • practical applications

    • The article provides valuable insights for policymakers and business leaders on leveraging AI for economic growth.

  • • key topics

    • 1
      Artificial Intelligence
    • 2
      Digital Economy
    • 3
      Economic Growth Strategies

  • • key insights

    • 1
      Integrates AI advancements with economic policy recommendations.
    • 2
      Focuses on the specific challenges and opportunities within the Russian context.
    • 3
      Offers a framework for future AI research and development directions.

  • • learning outcomes

    • 1
      Understand the role of AI in driving economic growth.
    • 2
      Identify challenges and opportunities for AI implementation in Russia.
    • 3
      Develop strategies for integrating AI into business and government policies.
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“ Introduction to Artificial Intelligence and Digital Economy

The integration of artificial intelligence (AI) into the digital economy represents a significant advancement in various sectors, particularly in energy management. This article explores the implications of AI on the efficiency and effectiveness of production asset management.

“ Conference Overview

The 1st International Scientific and Practical Conference titled 'Step into the Future: Artificial Intelligence and Digital Economy' was held on December 4-5, 2017, at the State University of Management. The conference aimed to discuss advancements in AI and its role in enhancing the digital economy.

“ Challenges in the Energy Sector

The Russian energy sector faces numerous challenges, including the aging of technological equipment and the need for efficient maintenance strategies. Addressing these challenges is crucial for ensuring uninterrupted energy supply and reducing operational costs.

“ Intelligent Management of Production Assets

Intelligent management involves utilizing AI methods to enhance the management of production assets in the energy sector. This includes assessing the technical condition of equipment and implementing predictive maintenance strategies to prevent failures.

“ Predictive Maintenance Techniques

Predictive maintenance leverages AI technologies to forecast equipment failures before they occur. By analyzing data from various sensors and historical performance, organizations can schedule maintenance activities more effectively, thereby reducing downtime.

“ Neural Networks in Equipment Monitoring

Neural networks play a pivotal role in monitoring the technical condition of equipment. By processing large datasets, these models can predict potential defects and failures, allowing for timely interventions and maintenance.

“ Optimization of Repair Programs

The optimization of repair programs is essential for managing production assets efficiently. By employing AI-driven decision-making tools, organizations can prioritize repairs based on the criticality of equipment and the potential impact on operations.

“ Conclusion and Future Directions

The integration of AI in the energy sector presents numerous opportunities for enhancing operational efficiency and reducing costs. Future research should focus on developing more sophisticated AI models and exploring their applications in other sectors of the economy.

 Original link: https://guu.ru/wp-content/uploads/vp-4-1.pdf

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