The Journal of Forecasting is a peer-reviewed academic journal published eight times per year by John Wiley & Sons. The journal was established in 1982 and covers all aspects of forecasting, including subject areas such as statistics, economics, psychology, systems engineering, and social sciences.
According to the Journal Citation Reports, the journal has a 2022 impact factor of 2.4.
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The JournalofForecasting is a peer-reviewed academic journal published eight times per year by John Wiley & Sons. The journal was established in 1982...
Telecommunications forecasting Transport planning and forecasting Weather forecasting, flood forecasting and meteorology In several cases, the forecast is either...
Institute ofForecasters. Its objective is to "unify the field offorecasting and to bridge the gap between theory and practice, making forecasting useful...
Electricity price forecasting (EPF) is a branch of energy forecasting which focuses on using mathematical, statistical and machine learning models to...
mean absolute percentage deviation (MAPD), is a measure of prediction accuracy of a forecasting method in statistics. It usually expresses the accuracy...
Business Forecasting". Archived from the original on 2016-03-10. Armstrong, J. Scott (1988). "Research Needs in Forecasting". International Journalof Forecasting...
including Forecasting, Planning and Strategy for the 21st Century (The Free Press), Forecasting: Methods and Applications, 3rd ed. and Forecasting Methods...
probabilistic forecasting is a type of probabilistic classification. Weather forecasting represents a service in which probability forecasts are sometimes...
Economic forecasting is the process of making predictions about the economy. Forecasts can be carried out at a high level of aggregation—for example for...
Technological Forecasting and Social Change (formerly Technological Forecasting) is a peer-reviewed academic journal published by Elsevier covering futures...
Coefficient of Variation Hyndman, Rob J.; Koehler, Anne B. (2006). "Another look at measures offorecast accuracy". International JournalofForecasting. 22 (4):...
by forecasting researcher Spyros Makridakis and were first held in 1982. The first Makridakis Competition, held in 1982, and known in the forecasting literature...
Energy forecasting includes forecasting demand (load) and price of electricity, fossil fuels (natural gas, oil, coal) and renewable energy sources (RES;...
Koehler A. B. (2006). "Another look at measures offorecast accuracy." International JournalofForecasting volume 22 issue 4, pages 679-688. doi:10.1016/j...
pricing forecasting is the method by which a generator, a utility company, or a large industrial consumer can predict the wholesale prices of electricity...
(October–December 2017). "The predictive power of Google searches in forecasting US unemployment". International JournalofForecasting. 33 (4): 801–816. doi:10.1016/j...
Weather forecasting is the application of science and technology to predict the conditions of the atmosphere for a given location and time. People have...
systematic, interactive forecasting method that relies on a panel of experts. Delphi has been widely used for business forecasting and has certain advantages...
offorecasting results as more complex forecasting strategies. Can be created with 3 points of a sequence and the "moment" or "index", this type of extrapolation...
Horvitz; Adam Seiver (1995). "Uncertain Reasoning and Forecasting". International JournalofForecasting. 11 (1): 73–87. doi:10.1016/0169-2070(94)02009-e....
averaging Ensemble forecasting Quantile Regression Averaging (QRA) Reference class forecasting Timmermann, Allan (2007). "An Evaluation of the World Economic...
Generally, the solar forecasting techniques depend on the forecasting horizon Nowcasting (forecasting 3–4 hours ahead), Short-term forecasting (up to seven days...
Forecasting Competition (GEFCom) is a competition conducted by a team led by Dr. Tao Hong that invites submissions around the world for forecasting energy...
development of technology forecasting, such as prediction markets, alternate reality games, online forecasting communities and obsolescence forecasting. "I think...
the likely outcome of the time series in the immediate future, given knowledge of the most recent outcomes (forecasting). Forecasting on time series is...
dependent variable being measured. An example of a model for forecasting demand is M.Roodman's (1986) demand forecasting regression model for measuring the seasonality...
Affective forecasting, also known as hedonic forecasting or the hedonic forecasting mechanism, is the prediction of one's affect (emotional state) in...
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