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Title: ENVIRONMENTAL OBSERVATION AND FORECASTING SYSTEM USING WIRELESS SENSOR NETWORKS
Page Link: ENVIRONMENTAL OBSERVATION AND FORECASTING SYSTEM USING WIRELESS SENSOR NETWORKS -
Posted By: seminar topics
Created at: Sunday 21st of March 2010 09:21:29 PM
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ENVIRONMENTAL OBSERVATION AND FORECASTING SYSTEM USING WIRELESS SENSOR NETWORKS

We describe Environmental Observation and Forecasting Systems (EOFS), a new class of large-scale distributed system designed to monitor, model, and forecast wide-area physical processes such as river systems. EOFS have strong social relevance in areas such as education, transportation, agriculture, natural resource planning and disaster response. In addition, they represent an opportunity for scientists to study large physical systems to an extent that ....etc

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Title: SHORT TERM LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC
Page Link: SHORT TERM LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC -
Posted By: seminar class
Created at: Monday 11th of April 2011 01:37:27 PM
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ABSTRACT:
This project presents the approach to the short term load forecasting using Artificial Neural Network (ANN) and Fuzzy Logic. Artificial Neural Networks (AAN) have recently been receiving considerable attention and a large number of publications concerning ANN-based short-term load forecasting (STLF) have appeared in the literature. Along with this Fuzzy Logic , also a part of Artificial Intelligence, is known to result in accurate predictions. In this paper, a model using Fuzzy Logic with the help of an ANN ....etc

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Title: Forecasting the Equity Premium and Optimal Portfolios
Page Link: Forecasting the Equity Premium and Optimal Portfolios -
Posted By: mechanical wiki
Created at: Tuesday 08th of September 2009 06:23:53 PM
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The expected equity premium is an important parameter in many financial models, especially within portfolio optimization. A good forecast of the future equity premium is therefore of great interest. In this thesis we seek to forecast the equity premium, use it in portfolio optimization and then give evidence on how sensitive the results are to estimation errors and how the impact of these can be minimized.Linear prediction models are commonly used by practitioners to forecast the expected equity premium, this with mixed results. To only choose ....etc

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Title: TRAFFIC STUDY AND FORECASTING full report
Page Link: TRAFFIC STUDY AND FORECASTING full report -
Posted By: seminar topics
Created at: Sunday 11th of April 2010 04:01:18 PM
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SEMINAR ON TRAFFIC STUDY AND FORECASTING

PRESENTED BY
NAGABHARANA.K.P
MALNAD COLLEGE OF ENGINEERING
Contents
Introduction to Traffic engineering
1. TRAFFIC STUDY :
Objects
Various Traffic Studies
Presentation of traffic data
2. TRAFFIC FORECASTING:
Introduction
Data for estimation and period for forecasting
Fore-casting methods
3. Conclusion
INTRODUCTION TO TRAFFIC ENGINEERING
Definition
Traffic engineering is that branch of engineering which deals with the improvement of traffic perf ....etc

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Title: latest seminars topic on demand forecasting in supply chain management
Page Link: latest seminars topic on demand forecasting in supply chain management -
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Created at: Wednesday 23rd of July 2014 06:31:01 PM
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Title: Wavelet Transform and Some Applications in Time Series Analysis and Forecasting ppt
Page Link: Wavelet Transform and Some Applications in Time Series Analysis and Forecasting ppt -
Posted By: seminar surveyer
Created at: Friday 28th of January 2011 05:24:54 PM
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A little bit of history….

Jean Baptiste Joseph Fourier (1768 – 1830)

MGP: Leibniz - Bernoulli - Bernoulli - Euler - Lagrange - Fourier – Dirichlet - ….

1787: Train for priest (Left but Never married!!!).
1793: Involved in the local Revolutionary Committee.
1974: Jailed for the first time.
1797: Succeeded Lagrange as chair of analysis and ....etc

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Title: FORECASTING DAILY PEAK LOAD OF GHANA USING RADIAL BASIS FUNCTION NEURAL NETWORK AND W
Page Link: FORECASTING DAILY PEAK LOAD OF GHANA USING RADIAL BASIS FUNCTION NEURAL NETWORK AND W -
Posted By: seminar presentation
Created at: Tuesday 18th of May 2010 11:55:21 PM
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Authors:
Emmanuel Asuming Frimpong
Philip Yaw Okyere

Abstract:
Load forecasting helps electricity utilities make important decisions such as purchasing and generating electric power, load switching and infrastructure development. Energy suppliers, financial institutions and other participants in electric energy generation, transmission, distribution and markets benefit from load forecasts. This paper proposes the combination of wavelet analysis and radial basis function (RBF) neural network as tools for STLF. The forecasting model ....etc

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Title: mba 1 year presentation topic on forecasting and types
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Posted By:
Created at: Saturday 10th of September 2016 05:33:49 PM
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Title: Demand ForecastingTime Series Models presentation
Page Link: Demand ForecastingTime Series Models presentation -
Posted By: seminar presentation
Created at: Thursday 13th of May 2010 02:27:17 PM
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Demand Forecasting: Time Series Models



PResented By:
Professor Stephen R. Lawrence
College of Business and Administration
University of Colorado



Forecasting Horizons

Long Term
5+ years into the future
R&D, plant location, product planning
Principally judgement-based



Medium Term

1 season to 2 years
Aggregate planning, capacity planning, sales forecasts
Mixture of quantitative methods and judgement


Short Term

1 day to 1 year, less than 1 season
Demand forecasting, staffing level ....etc

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Title: Business Forecasting and Modeling
Page Link: Business Forecasting and Modeling -
Posted By: Computer Science Clay
Created at: Wednesday 25th of February 2009 02:38:54 AM
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The Need to Forecast

When the result of an action is of consequence, but cannot be known in advance with precision, forecasting may reduce decision risk by supplying additional information about the possible outcome. The potential benefit of forecasting lies in the realm of decision making to exert control over some process. To be able to look into future is always a question in mind of decision makers. Calculating the likely value of a variable or its likely behavior are important outcomes of fore ....etc

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