Intraday Net Load Reserve Demand Assessment Based on CatBoost and Kernel Density Estimation
Author:
Affiliation:
1. Hunan University,College of Electrical and Information Engineering,Changsha,China
2. Electric Dispatch and Control Center,State Grid Shaanxi Electric Power Company,Xi’an,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9948701/9949620/09949639.pdf?arnumber=9949639
Reference17 articles.
1. A Fully Distributed Optimization Method for Reserve Capacity of Multi-Area Interconnected Power Systems Considering Reserve Sharing
2. A probabilistic determination of required reserve levels in an energy and reserve co-optimized electricity market with variable generation
3. A New Approach to Quantify Reserve Demand in Systems With Significant Installed Wind Capacity
4. Reserve margin planning in a wind-hydro-thermal power system
5. A Hybrid Short-Term Load Forecasting Model Based on CatBoost and LSTM
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