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Iskandarbin Petra

dblp:178/8688 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Energy systems and smart grids · 62% Computational finance and economics · 38%
Theoretical computer science
1 paper
Distributed computing theory · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational finance and economics › pricing
dynamic pricing
0.212016
An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid · AAAI 2016
Energy systems and smart grids › electricity market
electricity market design
0.212016
An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid · AAAI 2016
Distributed computing theory
impossibility results
0.212016
An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid · AAAI 2016
Energy systems and smart grids
demand response
0.112016
An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid · AAAI 2016
Energy systems and smart grids › demand-side management › load management
peak load reduction
0.112016
An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid · AAAI 2016

Methods — techniques the papers use, named apart from their topics

axiomatic analysis · 0.5
YearPublicationVenuePosition
2016 An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid
abstract
In electricity markets, the choice of the right pricing regime is crucial for the utilities because the price they charge to their consumers, in anticipation of their demand in real-time, is a key determinant of their profits and ultimately their survival in competitive energy markets. Among the existing pricing regimes, in this paper, we consider ex-ante dynamic pricing schemes as (i) they help to address the peak demand problem (a crucial problem in smart grids), and (ii) they are transparent and fair to consumers as the cost of electricity can be calculated before the actual consumption. In particular, we propose an axiomatic framework that establishes the conceptual underpinnings of the class of ex-ante dynamic pricing schemes. We first propose five key axioms that reflect the criteria that are vital for energy utilities and their relationship with consumers. We then prove an impossibility theorem to show that there is no pricing regime that satisfies all the five axioms simultaneously. We also study multiple cost functions arising from various pricing regimes to examine the subset of axioms that they satisfy. We believe that our proposed framework in this paper is first of its kind to evaluate the class of ex-ante dynamic pricing schemes in a manner that can be operationalised by energy utilities.
Sambaran Bandyopadhyay, Ramasuri Narayanam, Sarvapali D. Ramchurn, Vijay Arya, Iskandarbin Petra
AAAI6