In this paper, Extreme Learning Machine (ELM) is demonstrated to be a powerful tool for electricity consumption prediction based on its competitive ...
In this paper, Extreme Learning Machine (ELM) is shown to be a powerful tool for electricity consumption prediction, demonstrated by its competitive ...
ELECTRICITY CONSUMPTION & PREDICTION USING MACHINE LEARNING MODELS · Computer Science, Engineering · 2021.
Abstract—In this paper, Extreme Learning Machine (ELM) is demonstrated to be a powerful tool for electricity consumption prediction based on its competitive ...
Multivariate electricity consumption prediction with Extreme Learning Machine. Hui Song, A. Kai Qin, Flora D. Salim. January 2016.
Hui Song , A. Kai Qin , Flora D. Salim : Multivariate electricity consumption prediction with Extreme Learning Machine. IJCNN 2016: 2313-2320.
[PDF] Multivariate Extreme Learning Machine Based AutoEncoder for ...
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In this paper, we build a multivariate extreme learning machine based autoencoder model for electricity consumption clustering (MELM-EC), which performs common.
We propose a dynamic decomposition-denoising-ensemble model to predict monthly electricity consumption in this paper.
This paper builds a multivariate extreme learning machine based autoencoder model for electricity consumption clustering (MELM-EC), which performs common ...
We present a state-of-the-art review of the main statistical, machine learning, and hybrid techniques used for predicting electricity power consumption in ...