Huanhe Dong

Dr. Huanhe Dong

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Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2021 in Computational Intelligence and Neuroscience
Verified
Journal Article
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HDHuanhe Dong
Huanhe Dong
YGYa Gao
Ya Gao
YFYong Fang
Yong Fang
MLMingshuo Liu
Mingshuo Liu
YKYuan Kong
Yuan Kong
There are many factors that affect short‐term load forecasting performance, such as weather and holidays. However, most of the existing load forecasting models lack more detailed considerations for some special days. In this paper, the applicability of the bagged regression trees (BRT) model combined with eight variables is investigated to forecast short‐term load in Qingdao. The comparative experiments show that the accuracy and speed of forecasting have some improvements using the BRT than the artificial neural network (ANN). Then, an indicator variable is newly proposed to capture the abnormal information during special days, which include national statutory holidays, bridging days, and proximity days. The BRT model combined with this indicator variable is tested on the load series measured in 2018. Experiments demonstrate that the improved model generates more accurate predictive results than BRT model combined with previously variables on special days.
14 November 2017 in Discrete Dynamics in Nature and Society
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MTMengshuang Tao
Mengshuang Tao
HDHuanhe Dong
Huanhe Dong
With the assistance of a Lie algebra whose element is a matrix, we introduce a discrete spectral problem. By means of discrete zero curvature equation, we obtain a discrete integrable hierarchy. According to decomposition of the discrete systems, the new differential-difference integrable systems with two-potential functions are derived. By constructing the Abel-Jacobi coordinates to straighten the continuous and discrete flows, the Riemann theta functions are proposed. Based on the Riemann theta functions, the algebro-geometric solutions for the discrete integrable systems are obtained.
1 January 2019 in Complexity
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BGBaoyong Guo
Baoyong Guo
HDHuanhe Dong
Huanhe Dong
YFYong Fang
Yong Fang
In this paper, by means of the Hirota bilinear method, a dimensionally reduced nonlinear evolution equation is investigated. Through its bilinear form, lump solutions are obtained. We construct interaction solutions between lump solutions and one soliton solution by choosing quadratic functions and exponential function. Interaction solutions with the combinations of exponential functions and sine function are also given. Meanwhile, the figures of these solutions are plotted. The dynamical characteristics and properties of obtained solutions are discussed, respectively. The results show that the corresponding physical quantities and properties of nonlinear waves are associated with the values of the parameters.
1 January 2017 in Mathematical Problems in Engineering
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YZYong Zhang
Yong Zhang
SSShili Sun
Shili Sun
HDHuanhe Dong
Huanhe Dong
The rational solutions, semirational solutions, and their interactions to the (3 + 1)‐dimensional Jimbo‐Miwa equation are obtained by the Hirota bilinear method and long wave limit. The hybrid solutions contain rogue wave, lump solution, and the breather solution, in which the breathers which are manifested as growing and decaying periodic line waves show different dynamics in different planes. Rogue waves are localized in time and are obtained theoretically as a long wave limit of breathers with indefinitely larger periods; they arise from a constant background at t ≪ 0 and then disappear in the constant background when time goes on. More importantly, the interactions between some hybrid solutions are demonstrated in detail by the three‐dimensional figures, such as hybrid solution between the stripe soliton and breather and hybrid solution between stripe soliton and lump solution.
23 January 2018 in Analysis and Mathematical Physics
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YLYu Liu
Yu Liu
HDHuanhe Dong
Huanhe Dong
YZYong Zhang
Yong Zhang
1 January 2021 in Computational Intelligence and Neuroscience
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Journal Article
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JSJiuyun Sun
Jiuyun Sun
HDHuanhe Dong
Huanhe Dong
YGYa Gao
Ya Gao
YFYong Fang
Yong Fang
YKYuan Kong
Yuan Kong
Accurate electricity load forecasting is an important prerequisite for stable electricity system operation. In this paper, it is found that daily and weekly variations are prominent by the power spectrum analysis of the historical loads collected hourly in Tai’an, Shandong Province, China. In addition, the influence of the extraneous variables is also very obvious. For example, the load dropped significantly for a long period of time during the Chinese Lunar Spring Festival. Therefore, an artificial neural network model is constructed with six periodic and three nonperiodic factors. The load from January 2016 to August 2018 was divided into two parts in the ratio of 9 : 1 as the training set and the test set, respectively. The experimental results indicate that the daily prediction model with selected factors can achieve higher forecasting accuracy.