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Two (or more) for one: Identifying classes of household energy- and water-saving measures to understand the potential for positive spillover

PloS one, 2022-07, Vol.17 (7), p.e0268879-e0268879

2022

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How people use thermostats in homes: A review

Building and environment, 2011-12, Vol.46 (12), p.2529-2541

2011

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Metadata Schemas and Ontologies for Building Energy Applications: A Critical Review and Use Case Analysis

Energies (Basel), 2021-04, Vol.14 (7), p.2024

2021

Volltextzugriff (PDF)

Development and Implementation of Fault-Correction Algorithms in Fault Detection and Diagnostics Tools

Energies (Basel), 2020-05, Vol.13 (10), p.2598

2020

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Model predictive control for demand flexibility: Real-world operation of a commercial building with photovoltaic and battery systems

Advances in applied energy, 2022-09, Vol.7, p.100099, Article 100099

2022

Volltextzugriff (PDF)

The field of human building interaction for convergent research and innovation for intelligent built environments

Scientific reports, 2022-12, Vol.12 (1), p.22092-22092, Article 22092

2022

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Using social dynamics to explain uptake in energy saving measures: Lessons from space conditioning interventions in Japan and California

Energy research & social science, 2018-11, Vol.45, p.276-286

2018

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Defining and applying an electricity demand flexibility benchmarking metrics framework for grid-interactive efficient commercial buildings

Advances in applied energy, 2022-12, Vol.8, p.100107, Article 100107

2022

Volltextzugriff (PDF)

An overview of data tools for representing and managing building information and performance data

Renewable & sustainable energy reviews, 2021-09, Vol.147, p.111224, Article 111224

2021

Volltextzugriff (PDF)

Solar+ Optimizer: A Model Predictive Control Optimization Platform for Grid Responsive Building Microgrids

Energies (Basel), 2020-06, Vol.13 (12), p.3093

2020

Volltextzugriff (PDF)

Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate

Data in brief, 2023-06, Vol.48, p.109149-109149, Article 109149

2023

Volltextzugriff (PDF)

Categories and functionality of smart home technology for energy management

Building and environment, 2017-10, Vol.123, p.543-554

2017

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Using data from connected thermostats to track large power outages in the United States

Applied energy, 2019-12, Vol.256 (C), p.113940, Article 113940

2019

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Using non-invasive MEMS pressure sensors for measuring building envelope air leakage

Energy and buildings, 2021-02, Vol.233, p.110653, Article 110653

2021

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Home energy management (HEM) database: A list with coded attributes of 308 devices commercially available in the US

Data in brief, 2018-02, Vol.16 (C), p.71-74

2018

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Inferring occupant counts from Wi-Fi data in buildings through machine learning

Building and environment, 2019-07, Vol.158 (C), p.281-294

2019

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Of impacts, agents, and functions: An interdisciplinary meta-review of smart home energy management systems research

Energy research & social science, 2020-10, Vol.68, p.101555, Article 101555

2020

Volltextzugriff (PDF)

Occupant thermal feedback for improved efficiency in university buildings

Energy and buildings, 2017-06, Vol.144, p.241-250

2017

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Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency

Applied energy, 2021-12, Vol.304, p.117733, Article 117733

2021

Volltextzugriff (PDF)

Two

PloS one, 2022-07, Vol.17 (7), p.e0268879

2022

Volltextzugriff (PDF)

Decarbonization of heat pump dual fuel systems using a practical model predictive control: Field demonstration in a small commercial building

Applied energy, 2024-03, Vol.361

2024

Volltextzugriff (PDF)

A review of data-driven fault detection and diagnostics for building HVAC systems

Applied energy, 2023-06, Vol.339, p.121030, Article 121030

2023

Volltextzugriff (PDF)

Do occupancy-responsive learning thermostats save energy? A field study in university residence halls

Energy and buildings, 2016-09, Vol.127, p.469-478

2016

Volltextzugriff (PDF)

Implementation and test of an automated control hunting fault correction algorithm in a fault detection and diagnostics tool

Energy and buildings, 2023-03, Vol.283, p.112796, Article 112796

2023

Volltextzugriff (PDF)

From fault-detection to automated fault correction: A field study

Building and environment, 2022-04, Vol.214, p.108900, Article 108900

2022

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Two (or more) for one: Identifying classes of household energy- and water-saving measures to understand the potential for positive spillover

How people use thermostats in homes: A review

Metadata Schemas and Ontologies for Building Energy Applications: A Critical Review and Use Case Analysis

Development and Implementation of Fault-Correction Algorithms in Fault Detection and Diagnostics Tools

Model predictive control for demand flexibility: Real-world operation of a commercial building with photovoltaic and battery systems

The field of human building interaction for convergent research and innovation for intelligent built environments

Using social dynamics to explain uptake in energy saving measures: Lessons from space conditioning interventions in Japan and California

Defining and applying an electricity demand flexibility benchmarking metrics framework for grid-interactive efficient commercial buildings

An overview of data tools for representing and managing building information and performance data

Solar+ Optimizer: A Model Predictive Control Optimization Platform for Grid Responsive Building Microgrids

Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate

Categories and functionality of smart home technology for energy management

Using data from connected thermostats to track large power outages in the United States

Using non-invasive MEMS pressure sensors for measuring building envelope air leakage

Home energy management (HEM) database: A list with coded attributes of 308 devices commercially available in the US

Inferring occupant counts from Wi-Fi data in buildings through machine learning

Of impacts, agents, and functions: An interdisciplinary meta-review of smart home energy management systems research

Occupant thermal feedback for improved efficiency in university buildings

Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency

Two

Decarbonization of heat pump dual fuel systems using a practical model predictive control: Field demonstration in a small commercial building

A review of data-driven fault detection and diagnostics for building HVAC systems

Do occupancy-responsive learning thermostats save energy? A field study in university residence halls

Implementation and test of an automated control hunting fault correction algorithm in a fault detection and diagnostics tool

From fault-detection to automated fault correction: A field study

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