نتایج جستجو برای: electricity price forecast

تعداد نتایج: 151580  

1998
Robert Ethier Timothy Mount

The contingent claims valuation of physical assets and financial derivatives depends critically on the specification and estimation of the stochastic process that describes the price path. Accurate valuation of claims based on competitive electricity prices has proved problematic, as electricity price data are not well represented by traditional commodity price models of Brownian motion. Observ...

This paper aims to model total electricity demand (incremental) in order to estimate price and income elasticities using provincial data and the spatial panel data method. Electricity demand at the province level is influenced by climatic zones, which can be divided into temperate, cold and sub-tropical. This paper uses time series data for electricity demand in Iran’s 28 provinces, taking into...

The purpose of this article is to investigate the impact of electricity tariffs in the domestic and industrial sectors on electricity consumption and macroeconomic variables. In this regard, statistical data for the period 1991-2020 based on seasonal frequency and dynamic stochastic general equilibrium approach (DSGE) have been used. In this study, it is assumed that there is a section in the h...

Journal: :international journal of advanced design and manufacturing technology 0
adel gholami arman fathi mohamad sadegh ghazizadeh sayed javad mirrezai roudaki

abstract: implementing a combined cooling, heating and power system(cchp) to cool, heat and produce electricity is growing rapidly due to its efficiency and low emissions. in this paper, using economic analysis, the size and operation detail of the required gas engine and the specific electricity, cooling and heating load curves for a one year operating period has been determined. the proposed ...

Forecasting energy price and consumption is essential in making effective managerial decisions and plans. While there are many sophisticated mathematical methods developed so far to forecast, some nature-based intelligent algorithms with desired characteristics have been developed recently. The main objective of this research is short term forecasting of energy price and consumption in Iranian ...

2014
Rob J Hyndman

We want to forecast the peak electricity demand in a half-hour period in twenty years time. We have fifteen years of half-hourly electricity data, temperature data and some economic and demographic data. The location is South Australia: home to the most volatile electricity demand in the world.

2015
Hyojoo Son Changwan Kim

The aim of this study is to provide a precise model for one-month-ahead forecast of electricity demand in residential sector. In this study, a total of 20 influential variables are taken into account including monthly electricity consumption, 14 weather variables, and 5 social variables. Based on support vector regression and fuzzy-rough feature selection with particle swarm optimization algori...

2016
KONDATI VARA LAKSHMI G. LAKSHMA REDDY

This paper presents a novel hierarchical control approach and new mathematical optimization models of greenhouses, which can be readily incorporated into energy hub management systems in the context of smart grids to optimize the operation of their energy systems. In greenhouses, artificial lighting, CO2 production, and climate control systems consume considerable energy; thus, a mathematical m...

This paper tries to model the electricity demand in Iran’s industrial sector which captures economic factors and also non-economic exogenous factors. The structural time series model (STSM) approach is employed which allows using economic theory and time series flexibility. In this approach the role of UEDT (Underlying Energy Demand Trend) including technological improvement and structural chan...

2004
Afzal S. Siddiqui Emily S. Bartholomew Chris Marnay ERNEST ORLANDO LAWRENCE Afzal S Siddiqui Emily S Bartholomew

Regardless of the form of restructuring, deregulated electricity industries share one common feature: the absence of any significant, rapid demand-side response to the wholesale (or, spot market) price. For a variety of reasons, electricity industries continue to charge most consumers an average cost based on regulated retail tariff from the era of vertical integration, even as the retailers th...

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