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A Statistical Analysis of ShortTerm Wind Power Forecasting Error Distribution

A Statistical Analysis of Short-Term Wind Power Forecasting Error Distribution

Project / Seminar Material
Reference ID: PS-15044-TM

DEDICATION

This research material titled “A Statistical Analysis of Short-Term Wind Power Forecasting Error Distribution” is dedicated to God for his enabling grace, and to all computer enthusiasts who contributed to make life a pleasant experience during my research documentation.

ACKNOWLEDGEMENT

I extend my sincere gratitude to all those who contributed to the completion of this project. Special thanks to my Supervisor (Name of your Supervisor), the Head of Department (Name of your HOD), the Lecturers in the department of Statistics, Book Authors and Profound Scholars of existing or related project material on “A Statistical Analysis of Short-Term Wind Power Forecasting Error Distribution” for their invaluable guidance, support, and expertise throughout the journey.

I am also grateful to your study area (mention any funding organizations, if applicable) for their financial assistance. This research would not have been possible without the encouragement and assistance of some stakeholders (mention any mentors, teachers, or colleagues). Additionally, I would like to acknowledge the understanding and patience of my family and friends during this endeavor. Your unwavering support has been a constant source of motivation. Thank you all for being part of this meaningful endeavor.

ABSTRACT

The rapid development of wind power has provided a potential energy source in electrical power system. A number of forecasting methodologies have been proposed to predict wind power based on the historical meteorological data and the time-scale framework. However, no forecasting techniques show the predominance over the others. A comprehensive understanding of wind power forecasting errors can lead to a better operational manner of electrical power system. Therefore, the primary purpose of this paper is to perform a statistical analysis of short-term wind power forecasting errors based on practical wind power measurements. First of all, a short-term wind power data from Belgium was investigated. Secondly, the wind power forecasting errors were analyzed based on several statistical criteria. Thirdly, comparisons were made between the analyzed error distribution and the normal distribution which is commonly assumed in electrical power system simulation studies. Finally, a correcting method was proposed to improve the assumption of wind power forecasting error distribution.


A Statistical Analysis of Short-Term Wind Power Forecasting Error Distribution

CHAPTER ONE

1.1 Introduction

… As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the Aim and Objectives of the study. Others are Significance of the study, Scope of work, Research hypothesis and questions, Limitation of the study and Definition of technical terms.

CHAPTER TWO

2.0 Literature Review

2.1 Introduction

This chapter focuses on the review of related literature. A literature review includes the current knowledge as well as theoretical and methodological contributions to a particular topic. It documents the state of the art with respect to the topic you are writing. It surveys the literature in the topic selected. In this research work the literature review includes the …

Summary Headlines for A Statistical Analysis of Short-Term Wind Power Forecasting Error Distribution



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