Areti Mounika Siva Venkata Sushma

AMSV Sushma, 728-***-****

Housing board colony ac94q1@r.postjobfree.com

Bhimavaram

W.G.Dist.

Career Objective:

To work in a challenging environment as an active member of team towards the accomplishment of organizational goals and to achieve success in my career and prove to be an asset to the organization.

Educational Qualifications:

Examination

Discipline/

Specialization

School/college

Board/

University

Year of Passing

%

M.Tech

Power Systems and Automation

SRKR Engineering college

JNTU, Kakinada

Up to

80

B.Tech

Electrical and Electronics Engineering.

GVVR Institute Of Technology,Tundurru

JNTU,Kakinada.

2016

76

Intermediate

M.P.C

Aditya Junior College, Bhimavaram.

Board Of Intermediate

2012

76.2

S. S. C

S.S.C

Z.P.H School,

Kesavadasupalem.

Board Of Secondary Education

2010

87.1

TECHNICAL SKILS:

Office Software : Microsoft Office Word, Microsoft Office Excel & . Microsoft office PowerPoint

Programming Language : C Programming

Platform : Microsoft Windows

Software : Mat lab

PROJECT REPORT

PROJECT TITLE: Short Term Wind Speed and Power Forecasting using PSO optimized regression model

ABSTRACT: The main research results of wind speed prediction research. It only focuses on point prediction. Wind power depends on atmospheric variables that are always changing. Wind speed prediction is an important aspect of future safe operation and reliability of the power grid. Outline the new developments in wind forecasting and the practical significance of current developments. In this paper, Optimal Particle Swarm Optimization (PSO) based regression model is used to predict 1 hour wind speed For this study, wind time series data was obtained from the National Renewable Energy Laboratory (NREL) website. In this work, the hourly average 60-minute wind speed data set for 2016 and 2017 has been used for analysis. In this actual and predicted wind speed, the comparison of the entire data with a sub-series approximation and delayed samples is evaluated. After the predictive analysis (average absolute percentage error), the MAPE error is calculated. In this MAPE there are fewer compared to the rest of the methods, and the model is suitable for all seasons of the year with low complexity. This method is more accurate than the remaining methods.

Conferences attending: International conference on applied science and Technology (ICAST)2019.

ACHIEVEMENTS:

I got first prize in school talent test.

I secured first place in 10th class public examinations.

Actively participated in various sports activities in schooling.

I won the laptop in my graduation Level.

PERSONAL STRENGTHS:

Zeal to learn new technologies and undertake challenging tasks.

Self confident.

HOBBIES:

Mehandi Designing and Listing music.

Personal Profile:

Name : Mounika Siva Venkata Sushma Areti

Father’s Name : A. Sri Rama Murthy

Sex : Female

Marital Status : Single

Nationality : Indian

Permanent Address : House No:- 3-50/1,Areti varistreet,Tundurru(534207),

Bhimavaram

Phone No : 728-***-****

Date of Birth : 25-01-1995

Declaration:

I hereby declare that the above-mentioned information is correct up to my knowledge and I bear the responsibility for the correctness of the above-mentioned particulars.

Place: Bhimavaram (AMSV Sushma)

Contact this candidate