Prepared by:
Saifur Rahman
Rahul Bhatnagar


Abstract

This paper reviews some of the existing studies on one-to-twenty four hour load forecasting algorithms, and presents an expert system based algorithm as an alternative. The logical and syntactical relationships between weather and load, and the prevailing daily load shapes have been examined to develop the rules for this approach. Two separate, but similar, algorithms have been developed to provide one-to-six hour and 24 hour ahead forecasts. These forecasts have bee ....etc

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CHAPTER 1
INTRODUCTION
Grid computing is a software technology, which uses the spare computing resources. This grid computing is now seen as a powerful and important tool for the power system applications. These days the power system operation and control involves large data-intensive, time-intensive applications. Therefore it can get a better solution by using this new technology. Also the power system is moving towards the renewable energy sources. In this case it helps them in providing cheap and efficient electrical ....etc

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ABSTRACT
The objective of this study is to forecast the domestic water needs for the Northern Malaysia until the year 2010. The IWR-MAIN software was used in this study. The Constant Use Rate Model and the Build Forecast Model were explored in this study. The forecast is done based on targets outlined in Kedah Action Plan 2010, which intends to transform the Kedah state to become a developed state by the year 2010. It is assumed that the ‘high performance’ targets outlined in Kedah Action Plan can be achieved by the year 2010. The ....etc

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INTRODUCTION

The importance of electricity in our day to day life has reached such a stage that it is very important to protect the power system equipments from damage and to ensure maximum continuity of supply. But there are power system blackouts by which the continuous power supply is being interrupted. What is more important in the case of a blackout is the rapidity with which the service is restored. Now- a -days power system blackouts are rare. But whenever they occur, the effect on commerce, in ....etc

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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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A TECHNO ECONOMIC FEASIBILITY PROJECT REPORT ON ESTABLISHING A SMALL SCALE INDUSTRY FOR MANUFACTURING OF PIPE (PVC)

(MECHANICAL ENGINEERING)
SUBMITED BY:
NAVEEN LOHAN
Branch: Mechanical
HARYANA COLLEGE OF TECHNOLOGY & MANAGEMENT,
KAITHAL

CHAPTER 1: INTRODUCTION
1.1 INTRODUCTION TO SSI: The SSI (Small Scale Industry) today is immense for the growth of the country. Small scale industries are the industries which are run with the help of hired labour and which also use some simpl ....etc

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Submitted By:
rohit


ENTREPRENEUR:
Entrepreneur is the owner of the business who contributes the capital and bears the risk of uncertainties in business life. He organizes, manages, assumes the risks and takes the decision about the enterprise. He takes all the steps to establish undertaking, coordinates the various factors of production, and gives it a start. He should be able to evaluate, business, opportunities, together all the necessary resources and ensures the success of the enterprise. Entrepreneur vie ....etc

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Chapter 1
INTRODUCTION
This paper describes the system components that make up the second-generation Deep-Ocean Assessment and Reporting of Tsunamis system, known as DART II1.
Tsunami data from the DART system can be combined with seismic data ingested into a forecast model to generate accurate tsunami forecasts for coastal areas2.
The motivation for developing a transportable, real-time, deep ocean tsunami measurement system was to forecast the impact of tsunamis on coastal areas in time to save lives and protect property. Over the past ....etc

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Prepared by:
Saifur Rahman
Rahul Bhatnagar


Abstract

This paper reviews some of the existing studies on one-to-twenty four hour load forecasting algorithms, and presents an expert system based algorithm as an alternative. The logical and syntactical relationships between weather and load, and the prevailing daily load shapes have been examined to develop the rules for this approach. Two separate, but similar, algorithms have been developed to provide one-to-six hour and 24 hour ahead forecasts. These forecasts have bee ....etc

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A framework for the verification of air quality forecasting models
using self-organizing feature maps
Abstract -
A fundamental problem in the development of an air
quality forecast system is the implementation of an
evaluation protocol. Traditionally, statistics are
computed to compare the model output to the
observations. These methods are limited in that they
are generally unable to easily identify the nature of an
error (such as location and timing errors). In this
paper, we describe CALUMeT (Canadian pollution
monitoring ....etc

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my concern is that
so i would likt to get more information..
and i need to special ppt materia..

thank you for your information and help. ....etc

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ABSTRACT

Now a day's every system is automated in order to face new challenges. In the present days Automated systems have less manual operations, flexibility, reliability and accurate. Due to this demand every field prefers automated control systems. Especially in the field of electronics automated systems are giving good performance. So this system is very useful to do operations like weather forecasting.

Here is an automated system being designed to get the weather forecast report in day to day life. This system is de ....etc

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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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