Cited by 187Green IT and SustainabilityEnergy Efficiency in ComputingInternet of Things and AI

Internet of Things: Energy boon or bane?

Hittinger, Eric, Jaramillo, Paulina·2019·Science

Abstract

Networked digital devices may cause rising energy use, although devices save energy locally

Integrity signals

Registry

Crossref · 10.1126/science.aau8825

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Smart building technologies have potential drawbacks.

    “While smart building technologies have the capability to significantly increase efficiency, we should note that there are potential drawbacks [346].”

    From Tackling climate change with machine learning (2023) · cites this paper as [346]

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Authors
Hittinger, E., & Jaramillo, P.
Affiliations
  • Rochester Institute of Technology (US)
  • Carnegie Mellon University (US)
Venue
Science
Published
2019-04-26
Volume
364
Issue
6438
Pages
326-328
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2940528488
Cited by
187
References
14
Citations by year
2026: 16 · 2025: 35 · 2024: 30 · 2023: 30 · 2022: 29 · 2021: 30 · 2020: 13 · 2019: 4
Type
journal article
Language
en
Open access
closed
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Green IT and Sustainability
  • Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
Keywords
Internet of Things, energy consumption, IoT devices, energy efficiency, smart devices

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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