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Demo Data from VLDB 2026 / reviewers in the wild / expert

Dan Wheeler

dblp:129/2772 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

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

Computer networks · 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 · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy systems and smart grids
demand response		 0.212013
Demo abstract: EnergyLab: building energy testbed for demand-response · IPSN 2013
Embedded and real-time systems › cyber-physical systems
building automation		 0.012013
Demo abstract: EnergyLab: building energy testbed for demand-response · IPSN 2013
Embedded and real-time systems
cyber-physical systems		 0.012013
Demo abstract: EnergyLab: building energy testbed for demand-response · IPSN 2013

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

lighting control · 0.3HVAC control · 0.3
YearPublicationVenuePosition
2013 Demo abstract: EnergyLab: building energy testbed for demand-response
abstract
A building testbed for design and evaluation of energy efficient control and demand response strategies for real buildings is presented. The testbed is a scaled down model of a centralized Heating, Ventilation and Air Conditioning (HVAC) and lighting system. Sensing and control in the tesbed is achieved using the standard Building Automation and Control Network protocol. A MATLAB based front-end can be used to run and observe experiments.
Madhur Behl, Neel D. Shah, Larry Vadakedathu, Dan Wheeler, Rahul Mangharam
 IPSN4