NDLI: Next Day Load Demand Forecasting of Future in Electrical Power Generation on Distribution Networks using Adaptive Neuro-Fuzzy Inference

Content Provider	IEEE Xplore Digital Library
Author	Jaipradidtham, C.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. Eng., Kasem Bundit Univ., Bangkok (Jaipradidtham, C.)
Abstract	This paper presents the development an adaptive neuro fuzzy inference control system for purpose of improving power system is an application of artificial neural network (ANN) and fuzzy logic based hourly load demand forecasting with linear polynomial and exponential equation. The ANN involved is designed using the multilayer back propagation learning. The fuzzy logic and the ANN input layer receives information on next day maximum temperature, period and hourly load. The class of day type, the hourly load in present day. The fuzzy logic and the ANN output layer provides the predicted hourly load. Test is performed using data of hourly load of Bangkok forecasting for 24 days. The results show that ANN model has mean absolute percentage error of 1.7% and the fuzzy logic model has mean absolute percentage error of 1.5%. The accurate results of the forecasting will improve the power system security and save generation cost.
Starting Page	64
Ending Page	67
File Size	4476764
Page Count	4
File Format	PDF
ISBN	1424402735
DOI	10.1109/PECON.2006.346620
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-28
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Demand forecasting Power generation Adaptive systems Artificial neural networks Fuzzy logic Power system modeling Programmable control Adaptive control Fuzzy control Fuzzy neural networks next day load Hourly load demand forecasting power system adaptive Neuro-Fuzzy inference
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Time-series load modelling and load forecasting using neuro-fuzzy techniques

A multi Adaptive Neuro Fuzzy Inference System for short term load forecasting by using previous day features

Short term load forecasting using fuzzy adaptive inference and similarity

Retina recognition system using adaptive neuro fuzzy inference system

Applying Time-Series Regression to Load Forecasting Using Neuro-Fuzzy Techniques

Modeling power system load using adaptive neural fuzzy logic and Artificial Neural Networks

Preliminary comparison of different neural-fuzzy mappers for load curve short term prediction

Next day load curve forecasting using hybrid correction method

Dynamic Control of Three-Link SCARA Manipulator using Adaptive Neuro Fuzzy Inference System

Next Day Load Demand Forecasting of Future in Electrical Power Generation on Distribution Networks using Adaptive Neuro-Fuzzy Inference

Similar Documents

Time-series load modelling and load forecasting using neuro-fuzzy techniques

A multi Adaptive Neuro Fuzzy Inference System for short term load forecasting by using previous day features

Short term load forecasting using fuzzy adaptive inference and similarity

Retina recognition system using adaptive neuro fuzzy inference system

Applying Time-Series Regression to Load Forecasting Using Neuro-Fuzzy Techniques

Modeling power system load using adaptive neural fuzzy logic and Artificial Neural Networks

Preliminary comparison of different neural-fuzzy mappers for load curve short term prediction

Next day load curve forecasting using hybrid correction method

Dynamic Control of Three-Link SCARA Manipulator using Adaptive Neuro Fuzzy Inference System

Next Day Load Demand Forecasting of Future in Electrical Power Generation on Distribution Networks using Adaptive Neuro-Fuzzy Inference