Real-time pricing for aggregates energy resources in the Italian energy market

Favuzza, Salvatore; Galioto, Giovanni Ettore; Ippolito, Mariano Giuseppe; Massaro, Fabio; Milazzo, Fabrizio; Pecoraro, G.; Sanseverino, Eleonora Riva; Telaretti, E.

doi:10.1016/j.energy.2015.04.105

Cited by 22 publications

(10 citation statements)

References 13 publications

(11 reference statements)

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“…If the γ 1 coefficient is significantly different from zero, it is said that the conditional variance is asymmetric. 35,37 So, for γ 1 < 0, a positive shock implies less volatility than a negative shock of the same magnitude. If γ 1 > 0, there is evidence of the leverage effect; that is, periods of falls in prices are often followed during periods of intense volatility, while volatility is not that intense in periods of high prices, volatility it's not that intense.…”

Section: Methodsmentioning

confidence: 99%

“…22,24,[26][27][28][29][30][31][32][33][34] Complementarily, this article aims to determine the presence of the "asymmetric volatility" and "verify the presence of leverage effect" using TARCH and EGARCH. We can represent the asymmetric conditional variance by the following variation of the GARCH (1,1) model, known as a TARCH (1,1) model as follows 35,36 :…”

Section: Methodsmentioning

confidence: 99%

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Retracted: The impact of COVID‐19 on the electricity sector in Spain: An econometric approach based on prices

Norouzi

Rubens

Enevoldsen

et al. 2020

Intl J of Energy Research

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According to the World Health Organization (WHO), the COVID-19 pandemic has been the greatest challenge to humanity since World War II. Spain is one of the countries experiencing severe consequences from the COVID-19 pandemic outbreak. In such a situation, when the population is quarantined, hospitals are crowded, and industries are shutting down; energy supply becomes a critical and "hard to predict" service. In this way, the study of the impact of COVID-19 on the selling price of electricity in Spain is highlighted more comprehensively. Given the high level of uncertainty in global energy markets, there is a research gap that needs to be filled, that is, the creation of new decision support mechanisms that can reduce risks and ensure more significant forecasting for investments and energy management to deal with seemingly unprecedented effects experienced through the current pandemic. This study

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Retracted: The impact of COVID‐19 on the electricity sector in Spain: An econometric approach based on prices

Norouzi

Rubens

Enevoldsen

et al. 2020

Intl J of Energy Research

View full text Add to dashboard Cite

show abstract

“…Therefore, future studies will consider the possibility of taking into account the effects of control logics for clusters of aggregated final end-users [38] for providing services to the DSO in view of economic benefits.…”

Section: Discussionmentioning

confidence: 99%

Building Automation and Control Systems and Electrical Distribution Grids: A Study on the Effects of Loads Control Logics on Power Losses and Peaks

et al. 2018

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Abstract:Growing home comfort is causing increasing energy consumption in residential buildings and a consequent stress in urban medium and low voltage distribution networks. Therefore, distribution system operators are obliged to manage problems related to the reliability of the electricity system and, above all, they must consider investments for enhancing the electrical infrastructure. The purpose of this paper is to assess how the reduction of building electricity consumption and the modification of the building load profile, due to load automation, combined with suitable load control programs, can improve network reliability and distribution efficiency. This paper proposes an extensive study on this issue, considering various operating scenarios with four load control programs with different purposes, the presence/absence of local generation connected to the buildings and different external thermal conditions. The study also highlights how different climatic conditions can influence the effects of the load control logics.

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“…There are many pricing schemes in Price-based DR, such as Flat Pricing (FP), Time-of-Use (TOU) pricing, Critical Peak Pricing (CPP), Peak Load Pricing (PLP), RTP, et al [6]. Each of the above Price-based DR program has good performance under certain circumstances, among which the RTP scheme needs the maximum communication capabilities of the smart grid to encourage users to consume electricity more effectively, which are determined before the start of each time slot [14,17,27,31]. The RTP scheme has been applied into large industrial and commercial customers as well as some residential customers in view of making the benefit for both electricity providers and consumers maximum [27].…”

Section: (Communicated By Jun Fu)mentioning

confidence: 99%

A real-time pricing scheme considering load uncertainty and price competition in smart grid market

Dai¹,

Gao²,

Gao³

et al. 2020

Journal of Industrial &Amp; Management Optimization

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As a powerful tool of Demand Response (DR) techniques in smart grid market, Real-time Pricing (RTP) may optimize the electricity consumption pattern of users and improve the efficiency of electricity market. In this paper, a multi-leader-follower Stackelberg Game (SG) based on RTP is established to model the strategic interaction behavior between multiple electricity retailers and multiple users while simultaneously considering the power load uncertainty of users and the price competition among electricity retailers. In the game model, electricity retailers aim to seek their revenue maximization while the optimal power consumption competition among the users is taken into account. Lagrange multiplier method is utilized to solve the Nash Equilibriums (NE) of two non-cooperative games, and the closed-form optimal solution is obtained, then the Stackelberg Equilibrium (SE) consisting of the optimal real-time prices of electricity retailers and the power consumption of users is given. Finally, the numerical analysis results verify that the proposed scheme can reduce the real-time electricity price and increase the users satisfaction under feasible constraint, which shows the effectiveness and better performance of proposed RTP scheme.

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Real-time pricing for aggregates energy resources in the Italian energy market

Cited by 22 publications

References 13 publications

Retracted: The impact of COVID‐19 on the electricity sector in Spain: An econometric approach based on prices

Retracted: The impact of COVID‐19 on the electricity sector in Spain: An econometric approach based on prices

Building Automation and Control Systems and Electrical Distribution Grids: A Study on the Effects of Loads Control Logics on Power Losses and Peaks

A real-time pricing scheme considering load uncertainty and price competition in smart grid market

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