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Tian Luo, Daofang Chang and Zhenyu Xu
Accurate sales forecasting can provide a scientific basis for the management decisions of enterprises. We proposed the xDeepFM-LSTM combined forecasting model for the characteristics of sales data of apparel retail enterprises. We first used the Extreme ...
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Yancai Xiao and Zhe Hua
Due to the harsh working environment of wind turbines, various types of faults are prone to occur during long-term operation. Misalignment faults between the gearbox and the generator are one of the latent common faults for doubly-fed wind turbines. Comp...
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Jiao Liu, Guoyou Shi and Kaige Zhu
To improve the overall accuracy of tidal forecasting and ameliorate the low accuracy of single harmonic analysis, this paper proposes a combined tidal forecasting model based on harmonic analysis and autoregressive integrated moving average?support vecto...
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With the development of the advanced Intelligent Transportation System (ITS) in modern cities, it is of great significance to upgrade the forecasting methods for travel demand with the impact of ITS. The widespread use of ITS clearly changes the urban tr...
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Huiru Zhao, Sen Guo and Wanlei Xue
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Huiru Zhao, Sen Guo and Wanlei Xue
Analysis of urban saturated power loads is helpful to coordinate urban power grid construction and economic social development. There are two different kinds of forecasting models: the logistic curve model focuses on the growth law of the data itself, wh...
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Lu Chen, Na Sun, Chao Zhou, Jianzhong Zhou, Yanlai Zhou, Junhong Zhang and Qing Zhou
Flood forecasting plays an important role in flood control and water resources management. Recently, the data-driven models with a simpler model structure and lower data requirement attract much more attentions. An extreme learning machine (ELM) method, ...
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Ning Jin, Linlin Song, Gabriel Jing Huang and Ke Yan
Residential electricity consumption forecasting plays a crucial role in the rational allocation of resources reducing energy waste and enhancing the grid-connected operation of power systems. Probabilistic forecasting can provide more comprehensive infor...
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Qingliang Xiong, Mingping Liu, Yuqin Li, Chaodan Zheng and Suhui Deng
Due to difficulties with electric energy storage, balancing the supply and demand of the power grid is crucial for the stable operation of power systems. Short-term load forecasting can provide an early warning of excessive power consumption for utilitie...
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Ching-Hsue Cheng, Ming-Chi Tsai and Yi-Chen Cheng
Public transportation systems are an effective way to reduce traffic congestion, air pollution, and energy consumption. Today, smartcard technology is used to shorten the time spent boarding/exiting buses and other types of public transportation; however...
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Min Li, Zhirui Cui and Tianyu Fan
In order to further improve the accuracy of flood routing, this article uses the Variable Exponential Nonlinear Muskingum Model (VEP-NMM), combined with the Artificial Rabbit Optimization (ARO) algorithm for parameter calibration, to construct the ARO-VE...
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Luka Crnogorac, Suzana Lutovac, Rade Tokalic, Milo? Gligoric and Zoran Gligoric
Relatively large deformations of the steel arch support in underground coal mines in the Republic of Serbia present one of the main problems for achieving the planned production of coal. Monitoring of the critical sections of the steel arch support in th...
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Ivan Herranz-Matey and Luis Ruiz-Garcia
The residual value of agricultural tractors plays a pivotal role in the financial viability of agribusiness enterprises. Nevertheless, there is a dearth of comprehensive studies concerning the prognostication of both retail and wholesale residual values ...
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Cesar Davila Hernandez, Jungseok Ho, Dongchul Kim and Abdoul Oubeidillah
During every Atlantic hurricane season, storms represent a constant risk to Texan coastal communities and other communities along the Atlantic coast of the United States. A storm surge refers to the abnormal rise of sea water level due to hurricanes and ...
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Andrei Bugaets, Boris Gartsman, Alexander Gelfan, Yury Motovilov, Oleg Sokolov, Leonid Gonchukov, Andrei Kalugin, Vsevolod Moreido, Zoya Suchilina and Evgeniya Fingert
This paper considers the main principles and technologies used in developing the operational modeling system for the Ussuri River Basin of 24,400 km2 based on the automated system of hydrological monitoring and data management (ASHM), the physical-mathem...
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Andrei Bugaets, Boris Gartsman, Alexander Gelfan, Yury Motovilov, Oleg Sokolov, Leonid Gonchukov, Andrei Kalugin, Vsevolod Moreido, Zoya Suchilina and Evgeniya Fingert
This paper considers the main principles and technologies used in developing the operational modeling system for the Ussuri River Basin of 24,400 km2 based on the automated system of hydrological monitoring and data management (ASHM), the physical-mathem...
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Minglu Ma, Min Su, Shuyu Li, Feng Jiang and Rongrong Li
South Africa’s coal consumption accounts for 69.6% of the total energy consumption of South Africa, and this represents more than 88% of African coal consumption, taking the first place in Africa. Thus, predicting the coal demand is necessary, in o...
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Dang Thanh Mai and Florimond De Smedt
A combined hydrological and hydraulic model is presented for flood prediction in Vietnam. This model is applied to the Huong river basin as a test case study. Observed flood flows and water surface levels of the 2002?2005 flood seasons are used for model...
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Guoqiang Sun, Tong Chen, Zhinong Wei, Yonghui Sun, Haixiang Zang and Sheng Chen
Accurate forecasting of carbon price is important and fundamental for anticipating the changing trends of the energy market, and, thus, to provide a valid reference for establishing power industry policy. However, carbon price forecasting is complicated ...
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Phan Van Thành DOI: 10.26459/jed.v113i14.3661
Pág. 157 - 167
Grey forecasting based on the grey system theory is a dynamic forecasting model and has been successfully applied in various fields. In recent years, many scholars have proposed new procedures or new models with different ways to improve the precision ac...
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