Unified Quantile Regression Deep Neural Network with Time-Cognition for Probabilistic Residential Load Forecasting
Residential load forecasting is important for many entities in the electricity market, but the load profile of single residence shows more volatilities and uncertainties. Due to the difficulty in producing reliable point forecasts, probabilistic load forecasting becomes more popular as a result of c...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/9147545 |
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