Diffusion and adoption of dynamic electricity tariffs: An agent-based modeling approach

被引：2

作者：

Kowalska-Pyzalska, Anna ^{[1
]}

Maciejowska, Katarzyna ^{[1
]}

Weron, Rafal ^{[1
]}

Katarzyna-Sznajd-Weron ^{[2
]}

机构：

[1] Wroclaw Univ Technol, Dept Operat Res, PL-50370 Wroclaw, Poland

[2] Wroclaw Univ Technol, Dept Theoret Phys, PL-50370 Wroclaw, Poland

来源：

PROCEEDINGS OF THE 2015 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2015) | 2015年

关键词：

Dynamic electricity tariffs; Intention-behavior gap; Innovation diffusion; Agent-based model;

D O I：

10.1145/2808797.2808859

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes an agent-based modeling (ABM) approach to study the diffusion and adoption of dynamic electricity tariffs. We discuss the difference between opinions and decisions of electricity consumers regarding dynamic pricing. By means of a simple ABM, we provide a plausible explanation for the observed in retail electricity markets discrepancy between the relatively high willingness to adopt dynamic tariffs and the actual low adoption rate.

引用

页码：1277 / 1283

页数：7

共 26 条

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