Visualization and Analytics of Distribution Systems with Deep Penetration of Distributed Energy Resources
Sector: Automotive • Location: Menlo Park, California, United States of America
Source: Department of Energy (DOE)
For high penetration of distributed energy resources like solar, electric power grid operators and planners must be able to incorporate large datasets from photovoltaic sources, local and line mounted precision instruments, customer load data from smart meters, and electric vehicle charging data into their analyses. This project will design and implement a platform for the visualization and analyt
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | Close |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | For high penetration of distributed energy resources like solar, electric power grid operators and planners must be able to incorporate large datasets from photovoltaic sources, local and line mounted precision instruments, customer load data from smart meters, and electric vehicle charging data into their analyses. This project will design and implement a platform for the visualization and analytics of distribution systems with high penetrations of distributed energy resources. This unified data analytics platform will enable the integration of massive and varied data streams for real-time monitoring with analytics, visualization, and control of distributed energy resources in distribution networks. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
