Behavior, Energy and Climate Change Conference
Parent: California Institute for Energy and Environment (CIEE)
eScholarship stats: Breakdown by Item for May through August, 2024
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 2nh0h4nb | Persistence of Energy Efficiency Behaviors over Time: Evidence from a Community-Based Program | 160 | 20 | 140 | 12.5% |
| 62d3456p | Impact of Energy Disaggregation on Consumer Behavior | 65 | 16 | 49 | 24.6% |
| 5qx94338 | Revealing Occupancy Diversity Factors in Buildings Using Sensor Data | 60 | 42 | 18 | 70.0% |
| 6ww5h5jm | Behaviour Change at Work: empowering energy efficiency in the workplace through user-centred design | 59 | 11 | 48 | 18.6% |
| 7jg1r8t1 | Making efficiency visible – Insights on effective nudging across decision styles and choice models | 56 | 18 | 38 | 32.1% |
| 7ch5r7bj | Utility investment vs. consumer loans: Getting to yes on energy efficiency through inclusive financing for all | 54 | 6 | 48 | 11.1% |
| 4z68561x | One of These Homes is Not Like the Other: Residential Energy Consumption Variability | 52 | 37 | 15 | 71.2% |
| 7jz9z1zg | Commercial Strategic Energy Management: Approaches and Best Practices | 50 | 25 | 25 | 50.0% |
| 3cc9b30t | Peak-Coincident Demand Savings from Behavior-Based Programs: Evidence from PPL Electric's Behavior and Education Program | 42 | 8 | 34 | 19.0% |
| 6s13r74m | Rapid energy savings in London's households to mitigate an energy crisis | 40 | 21 | 19 | 52.5% |
| 2sr794kx | A Demonstration of an Energy Feedback Research Platform in a Field Study of Real-Time Social Comparisons | 39 | 23 | 16 | 59.0% |
| 8rm3h9h5 | Strategic Energy Management. Keys to Behavioral and Operational Change. | 38 | 5 | 33 | 13.2% |
| 6h22x9bt | Co-designing with office workers to reduce energy consumption and improve comfort | 36 | 18 | 18 | 50.0% |
| 8xx3z6qx | Renewable Energy, Infrastructure and GHG Implication of Electrified Transportation: Metro Vancouver Case Study | 32 | 13 | 19 | 40.6% |
| 1c2117bm | SusLabNWE: Integrating qualitative and quantitative data to understand people’s everyday energy behavior | 31 | 6 | 25 | 19.4% |
| 1vs503px | Practicing Energy, or Energy Consumption as Social Practice | 29 | 11 | 18 | 37.9% |
| 5pc2v48v | Characterizing Customer Preferences: How the Doritos® Nachos Method Works for Electricity Service Plans | 29 | 7 | 22 | 24.1% |
| 83z390h2 | Household activities through various lenses: crossing surveys, diaries and electric consumption | 27 | 9 | 18 | 33.3% |
| 05p2948n | Tailoring climate change communication to female target groups – an experimental analysis of voting and consumer behavior in Switzerland | 26 | 4 | 22 | 15.4% |
| 1128g46s | Why Doesn't 25 Years of an Evolving Energy Code Make More of a Difference? | 25 | 4 | 21 | 16.0% |
| 02d7z8d2 | Modelling the impact of user behaviour on heat energy consumption | 24 | 4 | 20 | 16.7% |
| 790411z1 | Residential Behavioral Savings: An Analysis of Principal Electricity End Uses in British Columbia | 23 | 4 | 19 | 17.4% |
| 0jv0j8kx | A technical framework to describe occupant behavior for building energy simulations | 22 | 6 | 16 | 27.3% |
| 1ks1554j | The role of self-reporting in heating energy efficiency | 22 | 5 | 17 | 22.7% |
| 2ww9116s | What Are People's Responses to Thermal Discomfort? Sensing Clothing and Activity Levels Using SenseCam | 22 | 5 | 17 | 22.7% |
| 53b5k0x2 | The U.S. on 10-15 kWh/day | 22 | 1 | 21 | 4.5% |
| 9gh2g6x2 | Behavior Wedge Profiles for Cities: A New Tool for Identifying Opportunities and Targeting Behavioral Programs | 22 | 1 | 21 | 4.5% |
| 5v0513ft | Who Should Participate in DR Program? Modeling with Machine Learning and Credit Scoring | 20 | 4 | 16 | 20.0% |
| 51h014h5 | Changing Industrial Energy Behavior Via Education: Case Study of an Energy Efficiency Refrigeration Certification | 19 | 7 | 12 | 36.8% |
| 5g1631vc | Persistence of Behavioral Energy Management Activities and Savings in Commercial Office Buildings | 19 | 3 | 16 | 15.8% |
Disclaimer: due to the evolving nature of the web traffic we receive and the methods we use to collate it, the data presented here should be considered approximate and subject to revision.