Demo Data from VLDB 2026 / reviewers in the wild / expert
Iskandarbin Petra
dblp:178/8688
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational finance and economics › pricing
dynamic pricing |
0.2 | 1 | 2016 | An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid · AAAI 2016 |
Energy systems and smart grids › electricity market
electricity market design |
0.2 | 1 | 2016 | An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid · AAAI 2016 |
Distributed computing theory
impossibility results |
0.2 | 1 | 2016 | An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid · AAAI 2016 |
Energy systems and smart grids
demand response |
0.1 | 1 | 2016 | 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 |
0.1 | 1 | 2016 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart GridabstractIn 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 |
AAAI | 6 |