Jan 13, 2023 · We propose a vertical federated learning method to collaboratively collect more data to improve the forecast accuracy.
Dec 10, 2024 · Concretely, we design a full data-processing PLF, including data cleaning, private set intersection, feature selection, federated XGBoost ...
We design a full data-processing PLF, including data cleaning, private set intersection, feature selection, federated XGBoost training, and inference.
Concretely, we design a full data-processing PLF, including data cleaning, private set intersection, feature selection, federated XGBoost training, and ...
A vertical FL XGBoost-based PLF is proposed, where multiparty secure computation is used to enhance the privacy protection of FL, and a full data-processing ...
Full Data‐Processing Power Load Forecasting Based on Vertical ...
onlinelibrary.wiley.com › doi › pdf
Jan 13, 2023 · Power load forecasting (PLF) has important significance in the development of the power grid and its upstream and downstream enterprises.
Concretely, we design a full data-processing PLF, including data cleaning, private set intersection, feature selection, federated XGBoost training, and ...
People also ask
What is vertical federated learning?
What are the three types of federated learning?
This paper proposes a Federated Learning-based load prediction method for Energy Aggregation Service Providers, allowing them to share information without ...
For example, vertical FL is employed in scenarios for accurate load forecasting using different features located in different data partitions for model training ...
Yuan Tian, Peng Zhao, Yanan Li Full Data-Processing Power Load Forecasting Based on Vertical Federated Learning.J. Electr. Comput. Eng. 2023: 9914169:1 ...