AI and Computational Methods for Hydropower Management
Sector: Water Supply and Storage • Location: Stockton, Missouri, United States
Source: Renewable Energy Magazine
A researcher at Missouri University of Science and Technology is developing AI and computational methods to help hydropower plant operators manage water and energy resources more efficiently, supported by a $750,000 grant from the US Department of Energy. The project aims to enhance the flexibility and efficiency of hydropower systems, ultimately reducing costs and increasing renewable energy on t
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Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | Planned |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | A researcher at Missouri University of Science and Technology is developing AI and computational methods to help hydropower plant operators manage water and energy resources more efficiently, supported by a $750,000 grant from the US Department of Energy. The project aims to enhance the flexibility and efficiency of hydropower systems, ultimately reducing costs and increasing renewable energy on the grid. |
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 |
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