Long-term peak demand prediction of 9 Japanese power utilities using radial basis function networks

Nagasaka, Ken; Mamun, M. Al

doi:10.1109/pes.2004.1372805

Cited by 20 publications

(7 citation statements)

References 18 publications

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“…[28] Before that, Kermanshahi [91] in 1998 used ANN forecast load for 10 years, Ekonomou [92] used ANN to forecast load in Greece. Other commendable work in LTLF using ANN is reported in literatures [93][94][95][96][97][98][99][100].…”

Section: Long-term Load Forecasting Overviewmentioning

confidence: 99%

Forecasting the load of electrical power systems in mid‐ and long‐term horizons: a review

Khuntia

Rueda

Meijden

2016

IET Generation, Transmission & Distribution

131

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Load forecasting has always been an important part in the planning and operation of electric utilities, i.e., both transmission and distribution companies. With technological advancement, change in economic condition and many other factors (to be discussed in this work), load forecasting is becoming more important. The forecast affects as well as gets affected because of the load impacting factors and actions taken in different time horizons. However, due to its stochastic and uncertainty characteristics, it has been one challenging problem for electrical utilities to accurately forecast future load demand. This paper aims at reviewing the different load forecasting techniques developed for the mid-and long-term horizons of electrical power systems. Since there has never been an explicit literature study of the various forecasting techniques for mid-and long-term horizons, this paper reviews techniques for each of the forecasting horizons, citing various methodologies developed so far supported by published literature. The study is concluded with discussion on future research directions.

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Section: Long-term Load Forecasting Overviewmentioning

confidence: 99%

Forecasting the load of electrical power systems in mid‐ and long‐term horizons: a review

Khuntia

Rueda

Meijden

2016

IET Generation, Transmission & Distribution

131

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“…As an alternative to a large power plant serving as a frequency leader-which can deliver sufficient additional power so that the frequency control will not be impaired-it is possible to strategically place storage peakpower plants based on pumped-hydro [59,60] or compressed-air facilities [61,62] that can provide peak power for several hours per day, for example, 22 h of continuous generation at 1600 MW. In addition near-term [65,66] and long-term [67,68] load forecasts are important for the reliable operation of the power system with intermittently operating renewable energy sources. In addition near-term [65,66] and long-term [67,68] load forecasts are important for the reliable operation of the power system with intermittently operating renewable energy sources.…”

Section: Distributed- Cogeneration and Frequency/voltage Controlmentioning

confidence: 99%

Impact of Poor Power Quality on Reliability, Relaying and Security

Masoum¹,

Fuchs²

2015

Power Quality in Power Systems and Electrical Machines

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“…Jia et al [4] explained the effect of various factors [11] on long and medium term load forecasting in terms of functional and impact relationship. The major are [5] selected as follows:…”

Section: Economy Factorsmentioning

confidence: 99%

Effects of various factors on electric load forecasting: An overview

Khatoon

Ibraheem

Singh

et al. 2014

2014 6th IEEE Power India International Conference (PIICON)

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Accurate and efficient electrical load forecasting is a vital pre-requisite for power system planning and distribution as it can result in cost saving and better operating conditions. Object of this study focuses on the various factors affecting load forecasting. This paper attempts to consider the effects of these factors to highlight their role in operation and planning. A good understanding of the influence of the factors on the pattern of load forecasting helps to reduce the gap between demand and supply of electrical power leading to higher profit margin.

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Long-term peak demand prediction of 9 Japanese power utilities using radial basis function networks

Cited by 20 publications

References 18 publications

Forecasting the load of electrical power systems in mid‐ and long‐term horizons: a review

Forecasting the load of electrical power systems in mid‐ and long‐term horizons: a review

Impact of Poor Power Quality on Reliability, Relaying and Security

Effects of various factors on electric load forecasting: An overview

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