Data-driven strategies towards grid-interactive and energy-efficient buildings
Abstract/Contents
- Abstract
- Buildings use more energy than any other sector and are widely considered as lowest-hanging fruit for reducing energy demand. But if the energy savings potential is so great, then why do buildings continue to be so inefficient? One major cause is due to informational gaps that prevent critical stakeholders—from policymakers to facility managers—from properly identifying poor performing buildings and diagnosing their sources of inefficiencies. New sensors and data sources are, however, enabling newfound opportunities to monitor and track our buildings like never before. In this work, I aim to address informational gaps that hinder energy savings by proposing data-driven strategies that leverage smart meter and open data sources. Empowered with such tools, critical stakeholders can make more informed decisions to reduce energy waste in buildings.
Description
Type of resource | text |
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Form | electronic resource; remote; computer; online resource |
Extent | 1 online resource. |
Place | California |
Place | [Stanford, California] |
Publisher | [Stanford University] |
Copyright date | 2020; ©2020 |
Publication date | 2020; 2020 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Roth, Jonathan Michael |
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Degree supervisor | Jain, Rishee |
Thesis advisor | Jain, Rishee |
Thesis advisor | Fischer, Martin A |
Thesis advisor | Rajagopal, Ram |
Degree committee member | Fischer, Martin A |
Degree committee member | Rajagopal, Ram |
Associated with | Stanford University, Civil & Environmental Engineering Department |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Jonathan Michael Roth. |
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Note | Submitted to the Civil & Environmental Engineering Department. |
Thesis | Thesis Ph.D. Stanford University 2020. |
Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Jonathan Michael Roth
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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