Intelligent sales volume forecasting using Google search engine data
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04036-w
Abstract: Business forecasting is a critical organizational capability for both strategic and tactical business planning. Improving the quality of forecasts is thus an important organization goal. In this paper, the intelligent sales volume forecasting models are… read more here.
Keywords: intelligent sales; using google; volume forecasting; sales volume ... See more keywords
Precipitation analysis and forecasting using singular spectrum analysis with artificial neural networks
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DOI: 10.1007/s10586-018-1713-2
Abstract: The temporal variability monthly precipitation time series for Korea is decomposed using singular spectrum analysis (SSA) to detect hidden periodicity information in the data, and to compare the forecasting performance of combining linear recurrent formulas… read more here.
Keywords: forecasting using; using singular; precipitation; analysis ... See more keywords
Macroeconomic forecasting using penalized regression methods
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Forecasting"
DOI: 10.1016/j.ijforecast.2018.01.001
Abstract: We study the suitability of lasso-type penalized regression techniques when applied to macroeconomic forecasting with high-dimensional datasets. We consider performance of the lasso-type methods when the true DGP is a factor model, contradicting the sparsity… read more here.
Keywords: penalized regression; forecasting using; regression; macroeconomic forecasting ... See more keywords
Forecasting using heterogeneous panels with cross-sectional dependence
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DOI: 10.1016/j.ijforecast.2019.11.007
Abstract: Abstract In this paper, we focus on forecasting methods that use heterogeneous panels in the presence of cross-sectional dependence in terms of both spatial error dependence and common factors. We propose two main approaches to… read more here.
Keywords: forecasting using; cross sectional; dependence; using heterogeneous ... See more keywords
Significant wave height forecasting using WRF-CLSF model in Taiwan strait
Sign Up to like & getrecommendations! Published in 2021 at "Engineering Applications of Computational Fluid Mechanics"
DOI: 10.1080/19942060.2021.1974947
Abstract: Short-term hourly reliable prediction of significant wave height is an important research topic in coastal engineering. Many researchers have carried out in-depth studies in many ocean regions. Gen... read more here.
Keywords: forecasting using; height forecasting; using wrf; wave height ... See more keywords
BERTFOREX: Cascading Model for Forex Market Forecasting using Fundamental and Technical Indicator Data based on BERT
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3152152
Abstract: Foreign exchange (Forex) rate forecasting is presently pursued by many researchers as it plays an important role in financial technology and business. The challenge of Forex research lies in its characteristics, fluctuation, non-linearity, and random… read more here.
Keywords: forecasting using; indicator data; technical indicator; bertforex cascading ... See more keywords
Demand energy forecasting using genetic algorithm to guarantee safety on electrical transportation system
Sign Up to like & getrecommendations! Published in 2018 at "Chemical engineering transactions"
DOI: 10.3303/cet1867132
Abstract: Demand estimation models are used for energy planning activities. Their primary function is focused on securing energy supply to final users using available resources in generation, transport and interconnection. Long-term planning models typically use non-linear… read more here.
Keywords: forecasting using; energy; energy forecasting; using genetic ... See more keywords
Oil Price Forecasting Using FRED Data: A Comparison between Some Alternative Models
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DOI: 10.3390/en16114451
Abstract: This paper investigates the forecasting accuracy of alternative time series models when augmented with partial least-squares (PLS) components extracted from economic data, such as Federal Reserve Economic Data, as well as Monthly Database (FRED-MD). Our… read more here.
Keywords: pls components; forecasting using; oil price; price forecasting ... See more keywords
Forest Fire Forecasting Using Fuzzy Logic Models
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DOI: 10.3390/f12081005
Abstract: In this study, we explored hybrid fuzzy logic modelling techniques to predict the burned area of forest fires. Fast detection is crucial for successful firefighting, and a model with an accurate prediction ability is extremely… read more here.
Keywords: forecasting using; using fuzzy; fuzzy logic; fire forecasting ... See more keywords