Consumer Psychology Based Optimal Portfolio Design for Demand Response Aggregators

Shen, Yunwei; Li, Yang; Zhang, Qiwei; Li, Fangxing; Wang, Zhe

doi:10.35833/mpce.2019.000572

Cited by 28 publications

(9 citation statements)

References 26 publications

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“…Artificial intelligence is the product of the development of information technology to a certain stage [1]. It selects the corresponding algorithm according to the actual needs to achieve the goal of saving manpower and improving decision-making efficiency [2].…”

Section: Introductionmentioning

confidence: 99%

Consumer Psychology of Ethnic Clothing Based on Artificial Intelligence Decision-Making and Internet of Things

Peng

Krutasaen

2022

Wireless Communications and Mobile Computing

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The consumer psychology and consumption behavior of ethnic clothing is often a special category of modern clothing consumption, which has a significant impact on the composition of future consumer culture. The research on the consumption psychology of ethnic costumes will help us to better grasp the legal direction of the development of cultural trends. The purpose of this paper is to study the consumer psychology of ethnic wear based on artificial intelligence decision-making and the Internet of Things. After an overview and theoretical analysis of the existing results, the framework of the research and the direction to start are determined. In order to understand the basic situation of the current market, the main multichannels of ethnic wear are classified, and the preference information for these functions is explored in the minds of consumers. Use decision-making process research tools to quantify decision-making process data for all ethnic apparel consumption. The research obtains specific data through questionnaires and grasps the mass psychology of ethnic costume consumption. And then build a scientific system to promote the consumption of national costumes. Research has proved that the creation of cultural scope and the enrichment of commodity types have a very positive impact on the consumption of ethnic clothing and can become one of the important breakthroughs in promoting the consumption of ethnic clothing.

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Section: Introductionmentioning

confidence: 99%

Consumer Psychology of Ethnic Clothing Based on Artificial Intelligence Decision-Making and Internet of Things

Peng

Krutasaen

2022

Wireless Communications and Mobile Computing

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“…Typical characteristics of DERs include response uncertainties, consumer psychology and dispatch merit order. In the work of Mocanu et al, the users in the smart building are guided by onetime incentives, and a deep reinforcement learning algorithm is used to properly deal with the uncertain responses [83] . Consumer psychology is considered to better capture consumers' behavior patterns during contract signing [84] .…”

Section: Consideration Of Practical Economic and Physical Factorsmentioning

confidence: 99%

The competition and equilibrium in power markets under decarbonization and decentralization

Chen

Fang

Guo

et al. 2022

iEnergy

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Equilibrium analysis has been widely studied as an effective tool to model gaming interactions and predict market results. However, as competition modes are fundamentally changed by the decarbonization and decentralization of power systems, analysis techniques must evolve. This article comprehensively reviews recent developments in modelling methods, practical settings and solution techniques in equilibrium analysis. Firstly, we review equilibrium in the evolving wholesale power markets which feature new entrants, novel trading products and multi-stage clearing. Secondly, the competition modes in the emerging distribution market and distributed resource aggregation are reviewed, and we compare peer-to-peer clearing, cooperative games and Stackelberg games. Furthermore, we summarize the methods to treat various information acquisition degrees, risk preferences and rationalities of market participants. To deal with increasingly complex market settings, this review also covers refined analytical techniques and agent-based models used to compute the equilibrium. Finally, based on this review, this paper summarizes key issues in the gaming and equilibrium analysis in power markets under decarbonization and decentralization.

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“…The specifications of the considered ESS are presented in ( 11)- (17). The amount of energy in time interval t and scenario ω is calculated in (11).…”

Section: B Mathematical Problem Formulationmentioning

confidence: 99%

Novel Hybrid Stochastic-Robust Optimal Trading Strategy for a Demand Response Aggregator in the Wholesale Electricity Market

Vahid‐Ghavidel

Javadi

Santos

et al. 2021

IEEE Trans. on Ind. Applicat.

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The close interaction between the electricity market and the end-users can assist the demand response (DR) aggregator in handling and managing various uncertain parameters simultaneously to reduce their effect on the aggregator's operation. As the DR aggregator's main responsibility is to aggregate the obtained DR from individual consumers and trade it into the wholesale market. Another responsibility of the aggregator is proposing the DR programs (DRPs) to the end-users. This article proposes a model to handle these uncertainties through the development of a novel hybrid stochastic-robust optimization approach that incorporates the uncertainties around wholesale market prices and the participation rate of consumers. The behavior of the consumers engaging in DRPs is addressed through stochastic programming. Additionally, the volatility of the electricity market prices is modeled through a robust optimization method. Two DRPs are considered in this model to include both time-based and incentive-based DRPs, i.e., time-of-use and incentive-based DR program to study three sectors of consumers, namely industrial, commercial, and residential consumers. An energy storage system is also assumed to be operated by the aggregator to maximize its profit. The proposed mixed-integer linear hybrid stochastic-robust model improves the evaluation of DR aggregator's scheduling for the probable worst-case scenario.

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Consumer Psychology Based Optimal Portfolio Design for Demand Response Aggregators

Cited by 28 publications

References 26 publications

Consumer Psychology of Ethnic Clothing Based on Artificial Intelligence Decision-Making and Internet of Things

Consumer Psychology of Ethnic Clothing Based on Artificial Intelligence Decision-Making and Internet of Things

The competition and equilibrium in power markets under decarbonization and decentralization

Novel Hybrid Stochastic-Robust Optimal Trading Strategy for a Demand Response Aggregator in the Wholesale Electricity Market

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