Machine Learning-Based Forecasting of the Automatic Frequency Restoration Reserve Demand
Author:
Affiliation:
1. Czech Technical University,Faculty of Electrical Engineering,Prague,Czechia
2. Czech Technical University,CIIRC,Prague,Czechia
Funder
Technology Agency of the Czech Republic
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10406304/10407103/10407977.pdf?arnumber=10407977
Reference18 articles.
1. Replacement of Ancillary Service Resources Lost during Decarbonization
2. Dispatchable Virtual Power Plants with forecasting and decentralized control, for high levels of distributed energy resources grid penetration
3. Load Frequency Control Strategy for Wind Power Grid-connected Power Systems Considering Wind Power Forecast
4. Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends
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