Valuation of Load Forecasts in an Ensemble Model
Author:
Affiliation:
1. Tsinghua University,Department of Electrical Engineering,Beijing,China
2. The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong SAR,China
Funder
National Natural Science Foundation of China
University of Hong Kong
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9948701/9949620/09949731.pdf?arnumber=9949731
Reference21 articles.
1. An ensemble approach for short-term load forecasting by extreme learning machine
2. An Ensemble Forecasting Method for the Aggregated Load With Subprofiles
3. Data Markets for Smart Grids: An Introduction
4. Data valuation for decision-making with uncertainty in energy transactions: A case of the two-settlement market system
5. Smart Meters Big Data: Game Theoretic Model for Fair Data Sharing in Deregulated Smart Grids
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1. Trading and Valuation of Day-Ahead Load Forecasts in an Ensemble Model;IEEE Transactions on Industry Applications;2023-05
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