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What is Forecasting

Encyclopedia of Information Science and Technology, Third Edition
Predicting the future values of the response variables of a system. For example, making predictions about the weather or the stock market evolution.
Published in Chapter:
Forecasting Techniques for Energy Optimization in Buildings
Fernando Mateo (University of Valencia, Spain), Juan José Carrasco (University of Valencia, Spain), Abderrahim Sellami (University of Valencia, Spain), Mónica Millán-Giraldo (University of Valencia, Spain), Manuel Domínguez (University of León, Spain), Ignacio Díaz (University of Oviedo, Spain), and Emilio Soria-Olivas (University of Valencia, Spain)
Copyright: © 2015 |Pages: 11
DOI: 10.4018/978-1-4666-5888-2.ch092
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More Results
The Use of Simulation as an Experimental Methodology for DMSS Research
Forecasting means predicting the likelihood of an event or value occurring in the future based on available historical data.
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A Business Planning Framework for WiMAX Applications
Preparing predicted customer and market take-up of specific applications which form the basis on which investment criteria are examined.
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Prediction of Temperature in Buildings using Machine Learning Techniques
Predicting the future values of the response variables of a system. For example, making predictions about the weather or the stock market evolution.
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Decision-Making Support on Energy Management in District Heating
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Methods of Forecasting Solar Radiation
Prediction of future events and conditions is called forecast, and the act of making such prediction
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Strategic Planning in Entrepreneurial Companies: International Experiences
Is a crucial systematic process which helps managers to anticipate the future business events and to reduce company risk.
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Smart Tourist Destination Management Using Demand Forecasting Techniques: Using Big Data for Destination Demand Forecasting as Part of a Destination Management System
A decision-making model used by many businesses to help in budgeting, planning, and estimating future growth. In the simplest terms, forecasting is the attempt to predict future outcomes based on past events and management insight.
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Advanced Methodologies Descriptions and Applications
A process of predicting the future. Commonly applied to weather and equity prices.
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On Simulation Performance of Feedforward and NARX Networks Under Different Numerical Training Algorithms
In its simple form, it is a task related to providing future estimated value of a given variable based on past and current information.
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Day Ahead Electricity Price Forecasting in Coupled Markets: An Application in the Italian Market
The process of making predictions of the future by analyzing the trends, which are present in time series of given historical data.
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Thinking Inside the Box: Educating Leaders to Manage Constraints
Considering the potential short- and long-term consequences of a particular constraint.
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Digital Forensics and Data Mining
Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends.
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Soft Computing Based Statistical Time Series Analysis, Characterization of Chaos Theory, and Theory of Fractals
Sometimes, also known as prediction, is the technique of using statistical models to predict future outcomes in the form of trend
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Forecasting Hotel Occupancy Rates With Artificial Neural Networks in the COVID-19 Process
Is about predicting the future as accurately as possible, given all of the information available, including historical data and knowledge of any future events that might impact the forecasts ( Hyndman & Athanasopoulos, 2018 ).
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A Study on Evolutionary Technique to Predict the Sales During COVID-19
It is the process of making predictions of the future based on past and present data.
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Empowering Sustainability: The Role of Artificial Intelligence in Renewable Energy
Forecasting in the role of AI in Renewable Energy (RE) involves using advanced algorithms and data analysis techniques to predict future energy generation, demand, and market conditions. AI-powered forecasting improves the accuracy and reliability of predictions, enabling optimal decision-making, resource planning, and grid management in the RE sector.
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