Alan Meier
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View article: Explainable AI for Battery Degradation Prediction in EVs: Toward Transparent Energy Forecasting
Explainable AI for Battery Degradation Prediction in EVs: Toward Transparent Energy Forecasting Open
The rapid growth of electric vehicles (EVs) has intensified the demand for accurate and interpretable battery health prediction systems. While machine learning models have demonstrated high accuracy in forecasting battery degradation, thei…
View article: Barriers to Balcony Solar and Plug-In Distributed Energy Resources in the United States
Barriers to Balcony Solar and Plug-In Distributed Energy Resources in the United States Open
Plug-in distributed energy resources (DERs), such as balcony solar, backfeed power to the home through a standard plug. These systems may represent the future of residential solar and storage, particularly as recent net metering policies h…
View article: Optimizing Solar PV Deployment in Manufacturing: A Morphological Matrix and Fuzzy TOPSIS Approach
Optimizing Solar PV Deployment in Manufacturing: A Morphological Matrix and Fuzzy TOPSIS Approach Open
The growing energy demand of the industrial sector and the need for sustainable solutions highlight the importance of efficient decision making in solar photovoltaic (PV) implementation. Selecting optimal PV configuration is complex due to…
View article: Do Connected Thermostats Save Energy?
Do Connected Thermostats Save Energy? Open
Connected thermostats (CTs) manage HVAC systems in over four million homes. Widely varying strategies are used by these thermostats to reduce HVAC energy use. Thermostat vendors claim savings of up to 20%; however, there is no accepted pro…
View article: Permanent Electrical Loads in New Homes
Permanent Electrical Loads in New Homes Open
Numerous electrical products and components are installed by the builder during construction and prior to occupancy. Some of these components are required by safety codes, such as smoke detectors, others are needed to support the communica…
View article: Local Weather Station Design and Development for Cost-Effective Environmental Monitoring and Real-Time Data Sharing
Local Weather Station Design and Development for Cost-Effective Environmental Monitoring and Real-Time Data Sharing Open
Current weather monitoring systems often remain out of reach for small-scale users and local communities due to their high costs and complexity. This paper addresses this significant issue by introducing a cost-effective, easy-to-use local…
View article: A Field Study of Nonintrusive Load Monitoring Devices and Implications for Load Disaggregation
A Field Study of Nonintrusive Load Monitoring Devices and Implications for Load Disaggregation Open
Evaluations of nonintrusive load monitoring (NILM) algorithms and technologies have mostly occurred in constrained, artificial environments. However, few field evaluations of NILM products have taken place in actual buildings under normal …
View article: Energy Savings in Buildings Based on Image Depth Sensors for Human Activity Recognition
Energy Savings in Buildings Based on Image Depth Sensors for Human Activity Recognition Open
A smart city is a city that binds together technology, society, and government to enable the existence of a smart economy, smart mobility, smart environment, smart living, smart people, and smart governance in order to reduce the environme…
View article: S4 Framework for the Integration of Solar Energy Systems in Small and Medium-Sized Manufacturing Companies in Mexico
S4 Framework for the Integration of Solar Energy Systems in Small and Medium-Sized Manufacturing Companies in Mexico Open
Currently, the industrial sector consumes more than 60% of the energy produced in Mexico, mainly from fossil fuels, causing negative impacts on the environment and human beings. Solar energy helps companies diversify their energy sources, …
View article: Making Energy Savings Easier: Usability Metrics for Thermostats
Making Energy Savings Easier: Usability Metrics for Thermostats Open
U.S. residential thermostats control approximately 9% of the nation’s energy use. Many building codes now require programmable thermostats (PTs) because of their assumed energy savings. However, several recent field studies have shown no s…
View article: Evolving Gamified Smart Communities in Mexico to Save Energy in Communities through Intelligent Interfaces
Evolving Gamified Smart Communities in Mexico to Save Energy in Communities through Intelligent Interfaces Open
In 2021, the residential sector had an electricity consumption of around 39% in México. Householders influence the quantity of energy they manage in a home due to their preferences, culture, and economy. Hence, profiling the householders’ …
View article: International Actions to Reduce Miscellaneous Electrical Loads Energy Consumption
International Actions to Reduce Miscellaneous Electrical Loads Energy Consumption Open
Miscellaneous electric loads (MELs) research dates back over 30 years, with the earliest publications about MELs originating in the late 1980s. As the number and types of MELs have grown during the intervening decades, so has the body of m…
View article: Long-term trends in connected thermostat performance
Long-term trends in connected thermostat performance Open
Internet-connected thermostats (CTs) control heating and cooling systems in about 30% of North American homes, and capture half of annual thermostat sales. In 2017 the U.S. Environmental Protection Agency created a program to certify the p…
View article: Identifying energy savings opportunities in vacant commercial buildings using a semi-supervised sensor fusion model
Identifying energy savings opportunities in vacant commercial buildings using a semi-supervised sensor fusion model Open
Recent events have forced building managers to examine energy use during vacant periods and revealed miscellaneous electrical loads (MELs) as an opportunity for savings. This paper addresses a key step in unlocking these savings, specifica…
View article: Using Deep Learning in Real-Time for Clothing Classification with Connected Thermostats
Using Deep Learning in Real-Time for Clothing Classification with Connected Thermostats Open
Thermal comfort is associated with clothing insulation, conveying a level of satisfaction with the thermal surroundings. Besides, clothing insulation is commonly associated with indoor thermal comfort. However, clothing classification in s…
View article: Smart Homes as Enablers for Depression Pre-Diagnosis Using PHQ-9 on HMI through Fuzzy Logic Decision System
Smart Homes as Enablers for Depression Pre-Diagnosis Using PHQ-9 on HMI through Fuzzy Logic Decision System Open
Depression is a common mental illness characterized by sadness, lack of interest, or pleasure. According to the DSM-5, there are nine symptoms, from which an individual must present 4 or 5 in the last two weeks to fulfill the diagnosis cri…
View article: Improving Characterization of Miscellaneous Energy Loads in Energy Demand Models
Improving Characterization of Miscellaneous Energy Loads in Energy Demand Models Open
Miscellaneous energy loads (MELs) comprise a significant and growing portion of total building energy consumption. However relatively little is known about the products that make up MELs end uses, and MELs are modeled with less granularity…
View article: Energy Management System Based on a Gamified Application for Households
Energy Management System Based on a Gamified Application for Households Open
Nowadays, the growth in the consumption of energy and the need to face pollution resulting from its generation are causing concern for consumers and providers. Energy consumption in residential buildings and houses is about 22% of total en…
View article: Targeting buildings for energy-saving cool-wall retrofits: a case study at the University of California, Davis
Targeting buildings for energy-saving cool-wall retrofits: a case study at the University of California, Davis Open
Cool paints on exterior walls will save energy in air-conditioned buildings at hot-climate universities, such as the University of California, Davis (UC Davis). Cool paints are more reflective, typically lighter-colored versions of convent…
View article: Laboratory Evaluation of Tunable White LEDs for Circadian Lighting in Commercial Offices
Laboratory Evaluation of Tunable White LEDs for Circadian Lighting in Commercial Offices Open
Tunable white Light-Emitting Diode (LED) systems that allow users to control Correlated Color Temperature (CCT) are often marketed for circadian health, which is an emerging priority in commercial office lighting. However, the energy impac…