Impact of Artificial Intelligence (AI) on Energy and Utilities, 2018 - Technology Convergence of AI with IoT, Cloud, and Big Data will Open Up Numerous Application Opportunities in the Energy Sector

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Oct 02, 2018, 16:00 ET

DUBLIN, Oct 2, 2018 /PRNewswire/ --

The "Impact of Artificial Intelligence (AI) on Energy and Utilities, 2018" report has been added to ResearchAndMarkets.com's offering.

Artificial Intelligence (AI) is one of the biggest technological trends transforming every business sector across the world. With advances in computer technology, AI has scaled new heights in utility and application, exceeding all initial expectations. By leveraging advanced machine learning (ML) and deep learning (DL) algorithms, and advanced neural networks (ANN), AI can handle terabytes of structured, semi-structured, and unstructured data from disparate sources and identify patterns, as well as make predictions and recommendations based on its understanding of the data. This intelligence is being harnessed to develop innumerable smart applications that can efficiently take critical decisions autonomously and accurately, without human intervention.

Currently, the global energy market is undergoing a massive shift with the emergence of decarbonization, decentralization, and new technologies. Utilities, independent power producers (IPPs), and other energy companies are exploring effective ways to manage the imbalance in demand and supply caused by the growing use of unpredictable renewable energy source (RES) in power generation. Therefore, utilities, energy companies, and grid operators are exploring ways to employ AI technologies to improve the accessibility and efficiency of renewable energy technologies. Despite its nascence, AI possesses tremendous potential to transform the energy & utilities sector. In combination with other technologies like Big Data and IoT, it can aid the active management of electricity grids by balancing demand and supply.

This market insight provides a detailed analysis of the current and future applications of AI in the energy & utilities sector, across the entire energy industry value chain.

The study includes the following:

Technology trends, which includes AI, its evolution, and the different disciplines in which it is being used
Industry trends, which includes the application of AI across different business verticals, with use cases
Geographical adoption and key companies that dominate the global AI market
The applications of AI across the three main application segments of renewables management, demand management, and infrastructure management

The case studies provide an overview of the current challenges in certain areas of the industry and showcase the ways in which AI can be a better solution than manual methods.

Key Topics Covered:

1. Executive Summary

AI-Summary of Main Technologies, Solutions, and Benefits
AI-Challenges the Technology can Solve
AI-Maturity of Technologies/Applications

2. Research Scope & Methodology

Research Aim & Scope
Research Methodology
Key Questions this Study will Answer

3. Technology Status, Trends, and Business Models

Overview of AI
Current and Evolving AI Disciplines
Four Main Layers of an AI System
AI Empowers and Enhances Machine Efficiency
Key Trends Driving the Global AI Industry
AI Technology-Key Challenges
Spectrum of AI Systems
Current Applications of AI across Different Business Verticals
AI Value Chain
Key Stakeholders in AI Value Chain
Global AI Adoption
Key Players in the AI Industry
AI Adoption in Industries
AI Use Cases across Industries
AI Technology Roadmap

4. AI in Energy & Utilities

AI in Energy & Utilities
Three Main Applications of AI in Energy & Utilities

5. AI in Renewables Management

AI in Renewables Management
Use Case 1-GE: AI in Renewable Energy Management
Use Case 2-NEXTracker: AI in Renewable Energy Management
Use Case 3-Xcel Energy: AI in Renewable Energy Management
Use Case 4-Nnergix: AI in Renewable Energy Management
Other Companies

6. AI in Demand Management

AI in Demand Management
Use Case 1-Upside Energy: AI in Demand Management
Use Case 2-Hazama Ando: AI in Demand Management
Use Case 3-Origami Energy: AI in Demand Management
Use Case 4-Dexma: AI in Demand Management
Other Companies

7. AI in Infrastructure Management

AI in Infrastructure & Assets Management
Use Case 1-DeepMind: AI in Infrastructure Management
Use Case 2-Verdigris: AI in Infrastructure Management
Other Companies

8. Growth Opportunities & Companies to Action

Growth Opportunity-AI in Energy
Strategic Imperatives-AI in Energy

9. The Last Word

Three Big Predictions
Legal Disclaimer

10. Appendix

For more information about this report visit https://www.researchandmarkets.com/research/rkrd5g/impact_of?w=5

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Research and Markets
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SOURCE Research and Markets