University of Tasmania
Browse

File(s) not publicly available

Machine learning applications for load, price and wind power prediction in power systems

conference contribution
posted on 2023-05-23, 04:39 authored by Michael NegnevitskyMichael Negnevitsky, Mandal, P, Srivastava, AK
This paper reviews main forecasting techniques used for power system applications. Available forecasting techniques have been discussed with focus on electricity load and price forecasting as well as wind power prediction. Forecasting problems have been classified based on time frame, application specific area and forecasting techniques. Appropriate examples based on data pertaining to the Victorian electricity market, Australia and the PJM electricity market, U.S.A. are used to demonstrate the functioning of the developed neural network (NN) method based on similar days approach to predict hourly electricity load and price, respectively. The other important problem faced by power system utilities are the variability and non-schedulable nature of wind farm power generation. These inherent characteristics of wind power have both technical and commercial implications for efficient planning and operation of power systems. To address the wind power issues, this paper presents the application of an Adaptive Neural Fuzzy Inference System (ANFIS) to very short-term wind forecasting utilizing a case study from Tasmania, Australia. © 2009 IEEE.

History

Publication title

Proceedings of the 15th International Conference on Intelligent System Application to Power Systems

Editors

N Carnerio and A da Costa

Pagination

1-6

ISBN

978-1-4244-5098-5

Department/School

School of Engineering

Publisher

IEEE PES

Place of publication

Brazil

Event title

15th International Conference on Intelligent System Application to Power Systems

Event Venue

Curitiba, Brazil

Date of Event (Start Date)

2009-11-08

Date of Event (End Date)

2009-11-12

Repository Status

  • Restricted

Socio-economic Objectives

Other energy not elsewhere classified

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC