Forecasting Electricity Load and Prices in an Algerian Deregulated Market

نویسندگان

  • Mohamed Tarek Khadir
  • Damien Fay
چکیده

In a competitive electricity market environment, power producers and consumers need, on one hand, accurate load and/or electricity consumption forecasting tools. These tools will ensure an a-priori knowledge on the amount of energy needed for production. On the other hand, forecasting electricity prices, may play a very important role for producers and consumers when planning bidding strategies, in order to maximize their benefits and utilities, respectively. This paper will address both issues in a newly deregulated Algerian Market, with an analysis of the electricity national demand. An example of electricity demand model will be presented, as well as an attempt to introduce price modelling taking into account that there is only one electricity supplier on the market. Possibilities of price forecasting in a deregulated market may be projected.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Comparative Analysis of Short-Term Price Forecasting Models: Iran Electricity Market

As the electricity industry has changed and became more competitive, the electricity price forecasting has become more important. Investors need to estimate future prices in order to take proper strategy to maintain their market share and to maximize their profits. In the economic paradigm, this goal is pursued using econometric models. The validity of these models is judged by their forecastin...

متن کامل

S Anbazhagan and N Kumarappan: Binary Classification of Day-ahead Deregulated Electricity Market Prices Using Neural Network Input Featured by Dct

There is a general consensus that the movement of electricity price is crucial for electricity market. The binary electricity price classification method is as an alternative to numerical electricity price forecasting due to high forecasting errors in various approaches. This paper proposes a binary classification of day-ahead electricity prices that could be realized using discrete cosine tran...

متن کامل

Market Clearing Price Forecasting in Deregulated Electricity Markets Using Adaptively Trained Neural Networks

The market clearing prices in deregulated electricity markets are volatile. Good market clearing price forecasting will help producers and consumers to prepare their corresponding bidding strategies so as to maximize their profits. Market clearing price prediction is a difficult task since bidding strategies used by market participants are complicated and various uncertainties interact in an in...

متن کامل

اثرات اصلاح قیمت سوخت مصرفی نیروگاه‌ها بر قیمت برق در بازار تجدیدساختاریافته:رویکرد پویایی سیستمی

Following the rise of the fuels that power plants consume in the deregulated market, an increase in the electricity prices would be expected. This article tries to study the effects of power plants’ fuel prices adjustment on the amount of increase in electricity prices in the market. The components of the deregulated power market were modeled in the systems dynamics method with the aim of findi...

متن کامل

A New Iterative Neural Based Method to Spot Price Forecasting

Electricity price predictions have become a major discussion on competitive market under deregulated power system. But, the exclusive characteristics of electricity price such as non-linearity, non-stationary and time-varying volatility structure present several challenges for this task. In this paper, a new forecast strategy based on the iterative neural network is proposed for Day-ahead price...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005