|
|
|
|
|
Ping Jiang and Ying Nie
Accurate and reliable power load forecasting not only takes an important place in management and steady running of smart grid, but also has environmental benefits and economic dividends. Accurate load point forecasting can provide a guarantee for the dai...
ver más
|
|
|
|
|
|
|
|
|
|
Given the rapid development and wide application of wind energy, reliable and stable wind speed forecasting is of great significance in keeping the stability and security of wind power systems. However, accurate wind speed forecasting remains a great cha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lucky O. Daniel, Caston Sigauke, Colin Chibaya and Rendani Mbuvha
Wind offers an environmentally sustainable energy resource that has seen increasing global adoption in recent years. However, its intermittent, unstable and stochastic nature hampers its representation among other renewable energy sources. This work addr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mahdi Nakhaei, Fereydoun Ghazban, Pouria Nakhaei, Mohammad Gheibi, Stanislaw Waclawek and Mehdi Ahmadi
Precise forecasting of streamflow is crucial for the proper supervision of water resources. The purpose of the present investigation is to predict successive-station streamflow using the Gated Recurrent Unit (GRU) model and to quantify the impact of inpu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Songtao Huang, Jun Shen, Qingquan Lv, Qingguo Zhou and Binbin Yong
Electricity load forecasting has seen increasing importance recently, especially with the effectiveness of deep learning methods growing. Improving the accuracy of electricity load forecasting is vital for public resources management departments. Traditi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ufuk Beyaztas and Hanlin Shang
We propose a functional time series method to obtain accurate multi-step-ahead forecasts for age-specific mortality rates. The dynamic functional principal component analysis method is used to decompose the mortality curves into dynamic functional princi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andrea Menapace, Ariele Zanfei and Maurizio Righetti
The evolution of smart water grids leads to new Big Data challenges boosting the development and application of Machine Learning techniques to support efficient and sustainable drinking water management. These powerful techniques rely on hyperparameters ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dmitry Namiot,Mariia Nekraplonna,Oleg Pokusaev,Alexander Chekmarev
Pág. 25 - 30
This article deals with approaches to assessing the use of metro stations based on correspondence matrixes describing passenger movements. Telecom operators currently maintain mobile communication in the metro. This results in operators being able to tra...
ver más
|
|
|
|
|
|
|
|
|
|
|
Du?an Polomcic, Zoran Gligoric, Dragoljub Bajic, Cedomir Cvijovic
Pág. 1 - 16
Having the ability to forecast groundwater levels is very significant because of their vital role in basic functions related to efficiency and the sustainability of water supplies. The uncertainty which dominates our understanding of the functioning of w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Du?an Polomcic, Zoran Gligoric, Dragoljub Bajic and Cedomir Cvijovic
Having the ability to forecast groundwater levels is very significant because of their vital role in basic functions related to efficiency and the sustainability of water supplies. The uncertainty which dominates our understanding of the functioning of w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Monica Defend, Aleksey Min, Lorenzo Portelli, Franz Ramsauer, Francesco Sandrini and Rudi Zagst
This article considers the estimation of Approximate Dynamic Factor Models with homoscedastic, cross-sectionally correlated errors for incomplete panel data. In contrast to existing estimation approaches, the presented estimation method comprises two exp...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuxiu Liu, Xing Yuan, Yang Jiao, Peng Ji, Chaoqun Li and Xindai An
Integrating numerical weather forecasts that provide ensemble precipitation forecasts, land surface hydrological modeling that resolves surface and subsurface hydrological processes, and artificial intelligence techniques that correct the forecast bias, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anik Baul, Gobinda Chandra Sarker, Prokash Sikder, Utpal Mozumder and Ahmed Abdelgawad
Short-term load forecasting (STLF) plays a crucial role in the planning, management, and stability of a country?s power system operation. In this study, we have developed a novel approach that can simultaneously predict the load demand of different regio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Die Zhang, Yong Ge, Xilin Wu, Haiyan Liu, Wenbin Zhang and Shengjie Lai
Data-driven approaches predict infectious disease dynamics by considering various factors that influence severity and transmission rates. However, these factors may not fully capture the dynamic nature of disease transmission, limiting prediction accurac...
ver más
|
|
|
|
|
|
|
|
|
|
|
Thabang Mathonsi and Terence L. van Zyl
Hybrid methods have been shown to outperform pure statistical and pure deep learning methods at forecasting tasks and quantifying the associated uncertainty with those forecasts (prediction intervals). One example is Exponential Smoothing Recurrent Neura...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abas Omar Mohamed
The study investigated the empirical role of past values of Somalia?s GDP growth rates in its future realizations. Using the Box?Jenkins modeling method, the study utilized 250 in-sample quarterly time series data to forecast out-of-the-sample Somali GDP...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiwen Qin, Dongmei Yin, Xiaogang Dong, Dongxue Chen and Shuang Zhang
Passenger flow is an important benchmark for measuring tourism benefits, and accurate tourism passenger flow prediction is of great significance to the government and related tourism enterprises and can promote the sustainable development of China?s tour...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fx Anjar Tri Laksono, Laura Borzì, Salvatore Distefano, Agata Di Stefano and János Kovács
Coastal dynamic is the complex result of multiple natural and human processes, and past and future coastal behavior studies become fundamental to support coastal zone management. However, the reliability of coastal evolution studies is strongly dependent...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lei Liu, Yong Zhang, Chen Chen, Yue Hu, Cong Liu and Jing Chen
The purpose of this study is to investigate whether spatial-temporal dependence models can improve the prediction performance of short-term freight volume forecasts in inland ports. To evaluate the effectiveness of spatial-temporal dependence forecasting...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammad Ilbeigi and Bhushan Pawar
The US Department of Transportation and Federal Highway Administration require routine inspections to monitor bridge deterioration. Typically, bridge inspections are conducted every 24 months. This timeframe was determined solely based on engineering jud...
ver más
|
|
|
|
|
|