Principles of Forecasting

Principles of Forecasting
Author: J.S. Armstrong
Publisher: Springer Science & Business Media
Total Pages: 880
Release: 2001
Genre: Business & Economics
ISBN: 9780792374015

This handbook summarises knowledge from experts and empirical studies. It provides guidelines that can be applied in fields such as economics, sociology, and psychology. Includes a comprehensive forecasting dictionary.

Operations Forecasting

Operations Forecasting
Author: A. G. Abramson
Publisher: Marketing Classics Press
Total Pages: 138
Release: 2011-11-15
Genre: Business & Economics
ISBN: 1613112564

Forecasting Fundamentals

Forecasting Fundamentals
Author: Nada Sanders
Publisher: Business Expert Press
Total Pages: 110
Release: 2016-11-14
Genre: Business & Economics
ISBN: 1606498711

This book is for everyone who wants to make better forecasts. It is not about mathematics and statistics. It is about following a well-established forecasting process to create and implement good forecasts. This is true whether you are forecasting global markets, sales of SKUs, competitive strategy, or market disruptions. Today, most forecasts are generated using software. However, no amount of technology and statistics can compensate for a poor forecasting process. Forecasting is not just about generating a number. Forecasters need to understand the problems they are trying to solve. They also need to follow a process that is justifiable to other parties and be implemented in practice. This is what the book is about. Accurate forecasts are essential for predicting demand, identifying new market opportunities, forecasting risks, disruptions, innovation, competition, market growth and trends. Companies can navigate this daunting landscape and improve their forecasts by following some well-established principles. This book is written to provide the fundamentals business leaders need in order to make good forecasts. These fundamentals hold true regardless of what is being forecast and what technology is being used. It provides the basic foundational principles all companies need to achieve competitive forecast accuracy.

Flood Forecasting

Flood Forecasting
Author: Thomas E. Adams
Publisher: Elsevier
Total Pages: 498
Release: 2024-09-18
Genre: Science
ISBN: 0443140103

Flood Forecasting: A Global Perspective, Second Edition covers hydrologic forecasting systems on both a national and regional scale. This updated edition includes a breakdown by county contribution and solutions to common issues with a wide range of approaches to address the difficulties inherent in the development, implementation and operational success of national-scale flood forecasting systems. Special attention is given to recent advances in machine learning techniques for flood forecasting. Overall, the information will lead to improvements of existing systems and provide a valuable reference on the intricacies of forecast systems in different parts of the world. - Covers global and regional systems, thus allowing readers to understand the different forecasting systems and how they developed - Offers practical applications for groups trying to improve existing flood forecasting systems - Includes innovative solutions for those interested in developing new systems - Contains analytical and updated information on forecasting and monitoring systems

Weather Modeling and Forecasting of PV Systems Operation

Weather Modeling and Forecasting of PV Systems Operation
Author: Marius Paulescu
Publisher: Springer Science & Business Media
Total Pages: 364
Release: 2012-11-05
Genre: Technology & Engineering
ISBN: 1447146492

In the past decade, there has been a substantial increase of grid-feeding photovoltaic applications, thus raising the importance of solar electricity in the energy mix. This trend is expected to continue and may even increase. Apart from the high initial investment cost, the fluctuating nature of the solar resource raises particular insertion problems in electrical networks. Proper grid managing demands short- and long-time forecasting of solar power plant output. Weather modeling and forecasting of PV systems operation is focused on this issue. Models for predicting the state of the sky, nowcasting solar irradiance and forecasting solar irradiation are studied and exemplified. Statistical as well as artificial intelligence methods are described. The efficiency of photovoltaic converters is assessed for any weather conditions. Weather modeling and forecasting of PV systems operation is written for researchers, engineers, physicists and students interested in PV systems design and utilization. “p>

Predictive Policing

Predictive Policing
Author: Walt L. Perry
Publisher: Rand Corporation
Total Pages: 187
Release: 2013-09-23
Genre: Computers
ISBN: 0833081551

Predictive policing is the use of analytical techniques to identify targets for police intervention with the goal of preventing crime, solving past crimes, or identifying potential offenders and victims. These tools are not a substitute for integrated approaches to policing, nor are they a crystal ball. This guide assesses some of the most promising technical tools and tactical approaches for acting on predictions in an effective way.

Demand Forecasting for Managers

Demand Forecasting for Managers
Author: Stephan Kolassa
Publisher: Business Expert Press
Total Pages: 214
Release: 2016-08-17
Genre: Business & Economics
ISBN: 1606495038

Most decisions and plans in a firm require a forecast. Not matching supply with demand can make or break any business, and that's why forecasting is so invaluable. Forecasting can appear as a frightening topic with many arcane equations to master. For this reason, the authors start out from the very basics and provide a non-technical overview of common forecasting techniques as well as organizational aspects of creating a robust forecasting process. The book also discusses how to measure forecast accuracy to hold people accountable and guide continuous improvement. This book does not require prior knowledge of higher mathematics, statistics, or operations research. It is designed to serve as a first introduction to the non-expert, such as a manager overseeing a forecasting group, or an MBA student who needs to be familiar with the broad outlines of forecasting without specializing in it.