Digitalization in Smart Grid Networks - Emerging Application and Impact Assessment

1.1 Research Scope

1.2 Research Methodology

1.3 Research Methodology Explained

1.4 Key Findings

2.1 Increasing Need for Reliable and Efficient Energy Demand is a Key Trend Driving Adoption of Smart Grids

2.2 Two-Way Communication is a Key USP of Smart Grids

2.3 Segmentation – Distribution, AMI, V2G, and Data Management are Integral Parts of Smart Grid

2.4 Smart Grid Components Contribute Toward Grid Efficiency and Power Output

2.5 Smart Grid Ecosystem Landscape Across the Value Chain

3.1 Smart Grid Faces Key Challenges that Include Lack of Quality Datasets, and Initial Knowledge and Skillsets

4.1 Emerging ICT Technologies are the Fundamental Building Blocks of Smart Grids

4.2 Technology-based Mapping with Respect to Smart Grid Application Areas

4.3 Transitioning From Centralized to Decentralized Distributed Grid

5.1 Proliferation in the Number of Smart Grid Patents Filed will Have a Significant Impact on Innovations and Collaborations

5.2 Demand Side Management and Transmission and Distribution are Major Innovation Areas for Utility Stakeholders

5.3 1H2019 Saw Slight Decline in Funding from Investors Across the Globe

6.1 Blockchain-based Energy Trading Platform Offers Flexible Marketplace with Transparency

6.2 Grid Optimization Enables Efficient Utilization of Distributed Energy Resources

6.3 Tech Companies in Collaboration with Utility Providers will Boost Adoption of Smart Grid

6.4 AI Plays a Vital Role in Grid Stability and Renewable Energy Generation Forecasting

6.5 Emerging Technology Would Provide Traceability and Transparency in Energy Business Transactions

7.1 Enhanced Customer Management will be a Key Parameter to Smart Grid Solution Providers

7.2 Smart Grid to Enable New Revenue Streams for all the Energy and Power Stakeholders in Sharing Economy

8.1 Key Contacts

8.1 Key Contacts (continued)

Legal Disclaimer