Michael B Kane
Biographic Data
| ID | 6903776 |
|---|---|
| NAME | Michael B Kane |
| GIVEN NAMES | Michael B |
| FAMILY NAME | Kane |
| SIGNATURE | KANE M B |
| AFFILIATIONS | Northeastern University |
| ORCID | 0000-0002-3716-3116 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Beyond thermostat setpoints and comfort
Electric grids are challenged by increasing demand and supply volatility. In response, utilities are implementing demand response (DR) programs to reduce peak demand. However, previous residential DR studies have shown consumers often override these events, reducing their effectiveness. Improving DR programs requires better understanding of householder thermal behaviors and motivations. Research has not comprehensively examined relationships betw…
Measuring health inequities due to housing characteristics
Existing heat vulnerability assessment methods do not typically consider housing characteristics due to limited data and understanding of their effects. This research shows how heat vulnerability assessment methods can be used to identify and address indoor health inequities at the urban scale. The ResStock dataset is used to investigate the impact of housing characteristics on the indoor heat index during extreme heat events and power outages. T…
Communication breakdown
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Communication breakdown
Measuring health inequities due to housing characteristics
Existing heat vulnerability assessment methods do not typically consider housing characteristics due to limited data and understanding of their effects. This research shows how heat vulnerability assessment methods can be used to identify and address indoor health inequities at the urban scale. The ResStock dataset is used to investigate the impact of housing characteristics on the indoor heat index during extreme heat events and power outages. T…
Beyond thermostat setpoints and comfort
Electric grids are challenged by increasing demand and supply volatility. In response, utilities are implementing demand response (DR) programs to reduce peak demand. However, previous residential DR studies have shown consumers often override these events, reducing their effectiveness. Improving DR programs requires better understanding of householder thermal behaviors and motivations. Research has not comprehensively examined relationships betw…
Business (2 works) · Architectural engineering (1 work) · Artificial Intelligence (1 work) · Building Energy and Comfort Optimization (1 work) · Climate Change and Health Impacts (1 work) · Component (thermodynamics (1 work) · Computer Science (1 work) · Computer security (1 work) · Context (archaeology) (1 work) · Context-Aware Activity Recognition Systems (1 work)