BOOK-CHAPTER

ANN-Based Short-Term Load Forecasting

Year: 2017 Advances in computer and electrical engineering book series Pages: 92-111   Publisher: IGI Global

Abstract

Load forecasting is a very crucial issue for the operational planning of electrical power systems. In the sixth chapter, it is formulated that a reliable power network along with load prediction models is essential for uninterrupted supply of electrical energy to the consumers. The Back-Propagation ANN algorithm is applied to forecast the load of the power system. Based on the load forecasted power components, transmission lines and sub-stations are augmented for improved reliability in a province.

Keywords:
Reliability (semiconductor) Term (time) Reliability engineering Electric power system Electric power transmission Computer science Power (physics) Peak load Energy (signal processing) Electrical load Transmission (telecommunications) Engineering Automotive engineering Electrical engineering Telecommunications Voltage Mathematics Statistics

Metrics

2
Cited By
0.80
FWCI (Field Weighted Citation Impact)
1
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Energy Load and Power Forecasting
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Power Systems and Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Smart Grid and Power Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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