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Hourly loads and temperatures of a North-American electric utility are used for this study.
Experimental results on a large data set containing hourly loads of a North China city show the superiority of our method.
We estimated hourly loads of each component using hourly turbidity data and discharge data (i.e., L Q model) separately, and the results are integrated to estimate the annual fluxes.
This is the current load value and the hourly loads eleven hours into the past.
act as training features whereas corresponding hourly loads are training labels, supervising the training process of QRNN.
Denoted as "Method II" in this paper, this method is based on the corresponding hourly loads for the load in each hour of a day.
Similar(47)
The hourly load centers, for each of the different hourly load scenarios, are calculated deterministically.
The required balancing power turns out to be 25% of the average hourly load.
In order to evaluate the proposed method, some experiments, using eight datasets of half-hourly load data from England and France for the year 2005 and four data sets of hourly load data from Malaysia for the year 2007, are designed.
Results show that the proposed method improves the mean percentage errors by at least 5.7% on average hourly load profile.
The sensitivity analysis shows that the hourly load of building is least sensitive to the minimum wet bulb temperature.
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