A scalable demand and renewable energy forecasting system for distribution grids
| Autor: | Don Tougas, Bei Chen, Francesco Fusco, Mathieu Sinn, Vincent P. A. Lonij, Jean-Baptiste Fiot, Pascal Pompey, Yiannis Gkoufas, Allen Stamp, Mary Coombs |
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| Rok vydání: | 2016 |
| Předmět: |
Wind power
Computer science business.industry 020209 energy Electrical engineering 02 engineering and technology Environmental economics Grid parity Renewable energy Demand response Base load power plant Smart grid Peak demand Dynamic demand Intermittent energy source 0202 electrical engineering electronic engineering information engineering Power grid business |
| Zdroj: | 2016 IEEE Power and Energy Society General Meeting (PESGM). |
| DOI: | 10.1109/pesgm.2016.7741628 |
| Popis: | Managing a reliable, renewable, and affordable power grid is a challenging task because the mix of power generating and consuming devices connected to the network continues to change. Improved forecasts help network operators respond to these changes and make data-driven decisions regarding, e.g., demand response and market operations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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