Long-term load forecasting for fast developing utility using a knowledge-based expert system

Kandil, M.S.; El-Debeiky, S.; Hasanien, N.E.

doi:10.1109/tpwrs.2002.1007923

Cited by 177 publications

(56 citation statements)

References 4 publications

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“…Usually, there is not much explanation of why demand acts as it does, in the past or in the future. Trending is frequently modified by informed judgment, wherein utility forecasters modify their forecasts based on their knowledge of future developments which might make future electricity demand behave differently than it has in the past [15].…”

Section: B Medium and Long-term Load Forecastingmentioning

confidence: 99%

An Overview of Different Types of Load Forecasting Methods and the Factors Affecting the Load Forecasting

Gupta¹

2017

IJRASET

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load forecasting is vitally important for the electric industry in the deregulated economy. Load forecasting is about estimating future consumptions based on various data and information available and as per consumer behavior. Load forecasting mean forecasting average load in kw or total load in kwh for blocks of hourly, daily, weekly, monthly or yearly. There are different tools and techniques for load forecasting. One of the primary tasks of an electric utility is to accurately predict load demand requirements at all times, especially for short term. It has many applications including energy purchasing and generation, load switching, contract evaluation, and infrastructure development. Hence knowing the load behavior in advance is very important in planning, analysis and operation of power systems to maintain an uninterrupted, reliable, secure and economic energy providing. Keywords: electric load forecasting, short time load forecasting (stlf), long term load forecasting (ltlf) , medium term load forecasting (mtlf) I.INTRODUCTION Load forecasting is extremely important in electric energy generation, transmission, distribution and markets. Load forecast has been a central and an integral process in the planning and operation of electric utilities. The Purpose of load forecasting is proper planning and operation of a power utility requires an adequate model for electric power load forecasting [1]. Load forecasting plays a key role in helping an electric utility to make important decisions on power market, load switching, voltage control, network reconfiguration, and infrastructure development. Here we have discussed three type of load forecasting which are:-Long-term electric load forecasting used to supply electric utility company management with prediction of future needs for expansion, equipment purchases or staff hiring. This is longer than a year. Medium-term forecasting, used for the purpose of scheduling fuel supplies and unit maintenance. This is usually from a week to a year. Short-term forecasting, it is used to supply necessary information for the system management of day-to-day operations and unit commitment [1] [5]. II. LOAD FORECASTING MODEL DEVELOPMENT

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Section: B Medium and Long-term Load Forecastingmentioning

confidence: 99%

An Overview of Different Types of Load Forecasting Methods and the Factors Affecting the Load Forecasting

Gupta¹

2017

IJRASET

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“…In fuzzy logic there is no need of mathematical models for mapping between inputs and outputs. It is not affected by noise (error ) [14] ]there is no need of precise or even noise free inputs. After the whole processing is done using the fuzzy logic, the "defuzzification" is done to get the precise outputs.…”

Section: International Journal For Research In Applied Science and Engimentioning

confidence: 99%

A Literature Survey of Load Forecasting Methods and Impact of Different Factors on Load Forecasting

Kumar¹

2017

IJRASET

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“…Some factors that are taken into account in LTLF are population growth, industrial expansion, local area development, the gross domestic product, and past annual energy consumption. The output from this forecasting is the annual peak load demand and the annual energy demand for the years ahead [22] 2.2 The importance for short term load forecasting STLF is an essential part of daily operations of the utilities. No utility is able to work without it.…”

Section: Long Term Load Forecastingmentioning

confidence: 99%

Short Term Load Forecasting Using a Neural Network Based Time Series Approach

Dwijayanti

Hagan

2013

2013 1st International Conference on Artificial Intelligence, Modelling and Simulation

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Long-term load forecasting for fast developing utility using a knowledge-based expert system

Cited by 177 publications

References 4 publications

An Overview of Different Types of Load Forecasting Methods and the Factors Affecting the Load Forecasting

An Overview of Different Types of Load Forecasting Methods and the Factors Affecting the Load Forecasting

A Literature Survey of Load Forecasting Methods and Impact of Different Factors on Load Forecasting

Short Term Load Forecasting Using a Neural Network Based Time Series Approach

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