Integration of Predictive Analytics, Machine Learning, and Internet-of-Things (IoT) will Enable Digitization of Power Grids
Ongoing transformation of digitisation of electricity grid has paved strong foundation for the integration of intelligent energy management technologies. Development of single source virtual platforms to increase consumer engagement toward ensuring energy optimization and sustainability have positively influenced the business outlook. Moreover, the intervention of blockchain technology, virtual power plant platforms, demand side energy management, and utility account management services through relative monitoring and predictive analytics have further eased industrial operations.
1.1 Research Scope – Foreseeing Challenges and Solutions
1.2 Research Process and Methodology
1.2 Research Process and Methodology (continued)
2.1 Equipment Efficiency and Effective Demand Management to Support Energy Transition
2.2 Energy Analytics Working Model
2.3 Energy as a Service (EaaS) and Smart Grid Implementations to Positively Influence Technological Adoption
3.1 Arcadia
3.1 Mobile-optimized Online Dashboard (continued)
3.2 Aurora Solar Inc.
3.2 Software for Solar Design and Sales (continued)
3.3 Leapfrog Power Inc.
3.3 Virtual Power Plant Platform (continued)
3.4 METRON
3.4 METRON-EVA (continued)
3.5 Climatetrade
3.5 Blockchain Technology (continued)
3.6 GridBeyond Limited
3.6 GridBeyond Point (continued)
4.1 APAC to Demonstrate the Most Number of Patent Publications
4.2 LSIS, GE, and State Grid to Lead Patenting Activities Across the Globe
5.1 Growth Opportunity 1: R&D Investment
5.2 Growth Opportunity 2: Technology Convergence
5.3 Growth Opportunity 3: Technology Sourcing
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| Deliverable Type | Technology Research |
|---|---|
| No Index | No |
| Podcast | No |
| Author | Shrinivas Tukdeo |
| Industries | Energy |
| WIP Number | D99A-01-00-00-00 |
| Is Prebook | No |
Technology Advancements in Energy Analytics Transforming Power Grids
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