Erik A. Bensen
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View article: Applications of explainable artificial intelligence in renewable energy research
Applications of explainable artificial intelligence in renewable energy research Open
View article: Addressing bias in bagging and boosting regression models
Addressing bias in bagging and boosting regression models Open
View article: Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design Recommendations
Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design Recommendations Open
Addressing the so-called ``Red-AI'' trend of rising energy consumption by large-scale neural networks, this study investigates the actual energy consumption, as measured by node-level watt-meters, of training various fully connected neural…
View article: Applications of Explainable Artificial Intelligence in Renewable Energy Research: A Perspective from the United States National Renewable Energy Laboratory
Applications of Explainable Artificial Intelligence in Renewable Energy Research: A Perspective from the United States National Renewable Energy Laboratory Open
View article: Green Computing Opportunities & Strategy
Green Computing Opportunities & Strategy Open
Computation is critical to emerging fields of data intensive research, enabling new methodologies, approaches and tools. As the rate of hardware efficiency gains slows, computational time and energy costs increase. To match pace with compu…
View article: A Machine Learning Method for Predicting Traffic Signal Timing from Probe Vehicle Data
A Machine Learning Method for Predicting Traffic Signal Timing from Probe Vehicle Data Open
Traffic signals play an important role in transportation by enabling traffic flow management, and ensuring safety at intersections. In addition, knowing the traffic signal phase and timing data can allow optimal vehicle routing for time an…
View article: Green AI: Insights Into Deep Learning's Looming Energy Efficiency Crisis
Green AI: Insights Into Deep Learning's Looming Energy Efficiency Crisis Open
As demands grow to integrate artificial intelligence into every aspect of industry, commerce, and life, deep learning's exploding energy cost has become a looming crisis, making AI systems a salient energy-efficiency challenge. One might e…
View article: Concept of Operations of Next-Generation Traffic Control Utilizing Infrastructure-Based Cooperative Perception: Preprint
Concept of Operations of Next-Generation Traffic Control Utilizing Infrastructure-Based Cooperative Perception: Preprint Open
This paper puts forth a system architecture for an infrastructure-based cooperative perception (CP) fusion engine, to provide a complete state-space digital representation, with measurable accuracy, to support a wide-range of applications.…
View article: BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset Open
The BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER - Empirical Deep Learning Dataset. This dataset contains ener…
View article: Efficacy of the Method of Four Coefficients to Determine Charge-Carrier Scattering
Efficacy of the Method of Four Coefficients to Determine Charge-Carrier Scattering Open
The investigation of the electronic properties of semiconductors is\ninherently challenging due to the ensemble averaging of fundamentals to\ntransport measurements (i.e., resistivity, Hall, and Seebeck coefficient\nmeasurements). Here, we…
View article: CSD 2077554: Experimental Crystal Structure Determination
CSD 2077554: Experimental Crystal Structure Determination Open
An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely availabl…
View article: CSD 2077555: Experimental Crystal Structure Determination
CSD 2077555: Experimental Crystal Structure Determination Open
An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely availabl…
View article: CSD 2077557: Experimental Crystal Structure Determination
CSD 2077557: Experimental Crystal Structure Determination Open
An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely availabl…
View article: CSD 2077556: Experimental Crystal Structure Determination
CSD 2077556: Experimental Crystal Structure Determination Open
An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely availabl…
View article: Anomalous electronic properties in layered, disordered ZnVSb
Anomalous electronic properties in layered, disordered ZnVSb Open
Made available in DSpace on 2021-06-25T10:51:07Z (GMT). No. of bitstreams: 0\n Previous issue date: 2021-01-01
View article: Prototype latent heat storage system with aluminum-silicon as a phase change material and a Stirling engine for electricity generation
Prototype latent heat storage system with aluminum-silicon as a phase change material and a Stirling engine for electricity generation Open