研究目的
To perform the confidence interval estimation of the next-day apparent residential load, i.e., the difference amount between the actual residential load and PV output, with Just-In-Time modeling.
研究成果
The proposed methods are effective in estimating the apparent residential load curve of the next day, which will contribute to the stable operation of the distribution system under the condition of mass introduction of PVs.
研究不足
The study does not explicitly mention limitations.
1:Experimental Design and Method Selection:
The study uses Just-In-Time (JIT) modeling for confidence interval estimation of the next-day apparent residential load.
2:Sample Selection and Data Sources:
Uses 1-year data from 1 July 2006 to 30 June 2007 for both the residential load and the PV output estimations.
3:List of Experimental Equipment and Materials:
Not explicitly mentioned.
4:Experimental Procedures and Operational Workflow:
The confidence interval estimation is carried out by selecting data similar to the query point from the historical database and performing kernel density estimation.
5:Data Analysis Methods:
Evaluates the accuracies of two kinds of estimation methods from the viewpoints of Reliability, Error and Sharpness.
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