Full Paper View Go Back
Load Forecasting Algorithms with Simulation & Coding
Amogha A.K.1
Section:Research Paper, Product Type: Journal
Vol.7 ,
Issue.2 , pp.15-20, Apr-2019
Online published on Apr 30, 2019
Copyright © Amogha A.K. . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: Amogha A.K., “Load Forecasting Algorithms with Simulation & Coding,” International Journal of Scientific Research in Network Security and Communication, Vol.7, Issue.2, pp.15-20, 2019.
MLA Style Citation: Amogha A.K. "Load Forecasting Algorithms with Simulation & Coding." International Journal of Scientific Research in Network Security and Communication 7.2 (2019): 15-20.
APA Style Citation: Amogha A.K., (2019). Load Forecasting Algorithms with Simulation & Coding. International Journal of Scientific Research in Network Security and Communication, 7(2), 15-20.
BibTex Style Citation:
@article{A.K._2019,
author = {Amogha A.K.},
title = {Load Forecasting Algorithms with Simulation & Coding},
journal = {International Journal of Scientific Research in Network Security and Communication},
issue_date = {4 2019},
volume = {7},
Issue = {2},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {15-20},
url = {https://www.isroset.org/journal/IJSRNSC/full_paper_view.php?paper_id=362},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRNSC/full_paper_view.php?paper_id=362
TI - Load Forecasting Algorithms with Simulation & Coding
T2 - International Journal of Scientific Research in Network Security and Communication
AU - Amogha A.K.
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 15-20
IS - 2
VL - 7
SN - 2347-2693
ER -
570 Views
665 Downloads
316 Downloads
Abstract :
This paper provides simulations of load forecasting using GMDH Shell software, GNU Octave software and MATLAB software. The analysis made in this paper uses the algorithms like ANN and time- series. Such algorithms help in providing the good accuracy in finding the predictions of the load.
Key-Words / Index Term :
Load Forecasting, ANN, Time series Algorithm
References :
[1] Y. P. Wang, D.X. Huang , H.Q. Xiong, and Y. L. Niu, “Using relational analysis and multi-variable grey model for electricity demand forecasting in smart grid environment, ” Power System Protection and Control, vol.40, no.1, pp.96-100, 2012.
[2] Y. Yang and D. Xue ,“ Continuous fractional-order grey model and electricity prediction research based on the observation error feedback,” Energy, vol. 115, pp. 722-733, 2016.
You do not have rights to view the full text article.
Please contact administration for subscription to Journal or individual article.
Mail us at ijsrnsc@gmail.com or view contact page for more details.