nowadays, factor of energy besides other factors such as labor and capital plays an important role in agricultural production. energy is used as a factor for agricultural machines and instruments. important discussion about this subject is the reaction rate of energy demand to price variations of energy and other factors. so, this study estimates the functions of energy demand in agricultural s...

Day-ahead forecasting of electricity prices is important in deregulated electricity markets for all the stakeholders: energy wholesalers, traders, retailers, and consumers. Electricity price forecasting is an inherently difficult problem due to its special characteristic of dynamicity and non-stationarity. In this paper, we present a robust price forecasting mechanism that shows resilience towa...

The most important price for short-term electricity trading in Germany is the day-ahead auction price, which provided by EPEX SPOT. Basically, fluctuating prices allow cost-optimized production planning shifting electricity-intensive processes to times of favorable prices. However, as outcome an not directly tradeable afterwards. We propose flexible certificates that pass on plus a premium supp...

Understanding how consumers respond to electricity prices is essential for predicting the effects of climate change policy and other policies that target electricity markets. To date, studies of long-run electricity demand have relied on price changes that are transient or endogenous, and none have utilized experimental or quasi-experimental variation. We study the dynamics of residential elect...

This paper investigates the ability of the largest producer in an electricity market to manipulate both the electricity and emission allowances markets to its advantage. A Stackelberg game to analyze this situation is constructed in which the largest firm plays the role of the leader, while the medium-sized firms are treated as Cournot followers with price-taking fringes that behave competitive...

This paper presents an artificial neural network, ANN, based approach for estimating short-term wholesale electricity prices using past price and demand data. The objective is to utilize the piecewise continuous nature of electricity prices on the time domain by clustering the input data into time ranges where the variation trends are maintained. Due to the imprecise nature of cluster boundarie...

The introduction of competition in the electricity sector around the globe is aimed at improving efficiency in production, transmission and distribution of electrical energy. Privatization and deregulation in this sector are also intended to attract players and investments in the markets as well as to ensure competitive electricity price. This paper presents the use of an agent-based simulation...

This paper presents a stochastic mixed-integer linear programming approach for solving the self-scheduling problem of a price-taker thermal and wind power producer taking part in a pool-based electricity market. Uncertainty on electricity price and wind power is considered through a set of scenarios. Numerical results from a case study are presented to illustrate the performance of the proposed...

This paper presents a method for evaluation of investments in small-scale wind power under uncertainty. It is assumed that the price of electricity is uncertain and that an owner of a property with wind resources has a deferrable opportunity to invest in one wind power turbine within a capacity range. The model evaluates investment in a set of projects with different capacity. It is assumed tha...