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Applied Mathematical Modelling, ISSN 0307-904X, 2009, Volume 33, Issue 5, pp. 2444 - 2454
Accurately electric load forecasting has become the most important management goal, however, electric load often presents nonlinear data patterns. Therefore, a... 
Electric load forecasting | Support vector regression (SVR) | Immune algorithm (IA) | REGRESSION | TAIWAN | TIME | ALGORITHMS | ARTIFICIAL NEURAL-NETWORKS | MACHINES | PARTICLE SWARM OPTIMIZATION | DEMAND | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MECHANICS | ENGINEERING, MULTIDISCIPLINARY | UNCERTAINTY | POWER-SYSTEMS | Analysis | Models | Algorithms
Journal Article
International Journal of Electrical Power and Energy Systems, ISSN 0142-0615, 05/2015, Volume 67, pp. 431 - 438
Journal Article
Journal of Travel Research, ISSN 0047-2875, 9/2017, Volume 56, Issue 7, pp. 957 - 970
Hospitality constituencies need accurate forecasting of future performance of hotels in specific destinations to benchmark their properties and better optimize... 
Markov switching dynamic regression model | time series | search engine query | web traffic | tourism demand forecasting | big data | TOURIST ARRIVALS | GOOGLE TRENDS | INDUSTRY | TAIWAN | DETERMINANTS | SEARCH ENGINE DATA | DEMAND | TIME-SERIES | HOSPITALITY, LEISURE, SPORT & TOURISM | INTERNATIONAL TOURISM | CYCLE | Industry forecasts | Travel industry | Research
Journal Article
Pure and Applied Geophysics, ISSN 0033-4553, 8/2019, Volume 176, Issue 8, pp. 3411 - 3423
The main purpose of this study is to propose an innovative methodology to forecast the cumulative probability of future larger earthquakes for any given... 
Earth Sciences | Geophysics/Geodesy | GEOCHEMISTRY & GEOPHYSICS | CATALOG | EARTHQUAKES | TAIWAN | Earthquakes | Seismology | Analysis | Methods | Earthquake prediction | Seismic activity | Methodology | Probability theory | Mathematics | Earthquake data | Regions | Seismicity | Lower bounds | Offshore | Annual | Hazard mitigation | Geological hazards | Oceanic crust
Journal Article
Applied Soft Computing, ISSN 1568-4946, 05/2016, Volume 42, pp. 368 - 376
Time series forecasting is an important and widely popular topic in the research of system modeling, and stock index forecasting is an important issue in time... 
Stock forecasting | Empirical mode decomposition (EMD) | Adaptive network-based fuzzy inference system (ANFIS) | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | NEURAL-NETWORKS | HILBERT SPECTRUM | ENROLLMENTS | ARTIFICIAL-INTELLIGENCE MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Renewable Energy, ISSN 0960-1481, 03/2016, Volume 87, pp. 203 - 211
An ensemble of mixture density neural networks is used for short-term wind speed and power forecasting. Predicted wind speeds obtained from a numerical weather... 
Gaussian mixture | Wind speed/power prediction | Ensemble forecasting | Mixture density neural network | REGRESSION | SYSTEM | GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | ENERGY & FUELS | MODEL | PREDICTION | Weather | Usage | Air-turbines | Neural networks | Numerical weather forecasting | Analysis
Journal Article
Economic Modelling, ISSN 0264-9993, 01/2013, Volume 30, Issue 1, pp. 442 - 448
In stock market forecasting, high-order time-series models that use previous several periods of stock prices as forecast factors are more reasonable to provide... 
TAIEX forecasting | OWA operator | ANFIS | ECONOMICS | FUZZY TIME-SERIES | Stock markets | Analysis | Models
Journal Article
Energy, ISSN 0360-5442, 2006, Volume 31, Issue 14, pp. 2839 - 2847
Electricity demand forecasting plays an important role in electricity systems expansion planning. In this paper, we present a trigonometric grey prediction... 
Grey system theory | The GM(1,1) model | Electricity demand | Forecasting | NEW-ZEALAND | INDUSTRY | TAIWAN | ENERGY & FUELS | forecasting | ENERGY-CONSUMPTION | NETWORKS | MODEL | LEBANON | the GM(1,1) model | THERMODYNAMICS | electricity demand | TIME-SERIES | SYSTEMS | grey system theory
Journal Article
Economic Modelling, ISSN 0264-9993, 11/2012, Volume 29, Issue 6, pp. 2583 - 2590
To address the nonlinear and non-stationary characteristics of financial time series such as foreign exchange rates, this study proposes a hybrid forecasting... 
Least-squares support vector regression | Foreign exchange rate forecasting | Empirical mode decomposition | Intrinsic mode function | MACHINE CLASSIFIERS | PRICE | SYSTEMS | HILBERT SPECTRUM | ECONOMICS | ARTIFICIAL NEURAL-NETWORKS | Prices and rates | Money | Analysis | Foreign exchange
Journal Article
Journal of Cleaner Production, ISSN 0959-6526, 10/2016, Volume 134, pp. 456 - 462
Journal Article
1988, Chu ban., She hui qu shi cong shu, Volume 23, 336
Book
Journal of Climate, ISSN 0894-8755, 12/2010, Volume 23, Issue 24, pp. 6654 - 6668
Journal Article