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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Integration of Photovoltaics into Building Energy Usage through Advanced Control of Rooftop Unit
This paper presents a computational approach to forecast photovoltaic (PV) power in kW based on a neural network linkage of publicly available cloud cover data and on-site solar irradiance sensor data. We also describe a control approach to utilize rooftop air conditioning units (RTUs) to support renewable integration. The PV forecasting method is validated using data from a rooftop PV panel installed on the Distributed Energy, Communications, and Controls (DECC) laboratory at Oak Ridge National Laboratory. The validation occurs in multiple phases to ensure that each component of the approach is the best representation of the actual expected output. The control of the RTU is based on model predictive methods.
Performance of the HVAC Systems at the ASHRAE Headquarters Building, Part 1: Measured Energy Usage
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Alternate energy source usage methods for in situ heat treatment processes
Systems, methods, and heaters for treating a subsurface formation are described herein. At least one method for providing power to one or more subsurface heaters is described herein. The method may include monitoring one or more operating parameters of the heaters, the intermittent power source, and a transformer coupled to the intermittent power source that transforms power from the intermittent power source to power with appropriate operating parameters for the heaters; and controlling the power output of the transformer so that a constant voltage is provided to the heaters regardless of the load of the heaters and the power output provided by the intermittent power source.
Intuitive Open Platform Usage of ASCR Resources in NumPy
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Defining a region of optimization based on engine usage data
Methods and systems for engine control optimization are provided. One or more operating conditions of a vehicle engine are detected. A value for each of a plurality of engine control parameters is determined based on the detected one or more operating conditions of the vehicle engine. A range of the most commonly detected operating conditions of the vehicle engine is identified and a region of optimization is defined based on the range of the most commonly detected operating conditions of the vehicle engine. The engine control optimization routine is initiated when the one or more operating conditions of the vehicle engine are within the defined region of optimization.
Modeling of laser-induced damage and optic usage at the National Ignition Facility
Abstract not provided
Optimizing Battery Usage and Management for Long Life
This presentation discusses the impact of system design factors on battery aging and end of life. Topics include sizing of the SOC operating window, cell balancing and thermal management systems and their value in reducing pack degradation rates and cell imbalance growth over lifetime.
Modeling of laser-induced damage and optic usage at the National Ignition Facility
Abstract not provided
Current On-Campus Attitudes toward Energy Usage, Efficiency, and Emerging Technologies
Context & Background for Energy Survey Methods & Survey Overview Respondent Demographics Results Demand Response Current Environmental Comfort Perceptions Smart Meters Perceived Smart Meter Benefits Motivators of Energy Efficient Practices Summary & Implications
Advanced catalyst substrates and coatings for reduced PGM usage in after-treatment
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Measuring, Predicting and Visualizing Short-Term Change in Word Representation and Usage in VKontakte Social Network
Language in social media is extremely dynamic: new words emerge, trend and disappear, while the meaning of existing words can fluctuate over time. This work addresses several important tasks of visualizing and predicting short term text representation shift, i.e. the change in a word’s contextual semantics. We study the relationship between short-term concept drift and representation shift on a large social media corpus – VKontakte collected during the Russia-Ukraine crisis in 2014 – 2015. We visualize short-term representation shift for example keywords and build predictive models to forecast short-term shifts in meaning from previous meaning as well as from concept drift. We show that short-term representation shift can be accurately predicted up to several weeks in advance and that visualization provides insight into meaning change. Our approach can be used to explore and characterize specific aspects of the streaming corpus during crisis events and potentially improve other downstream classification tasks including real-time event forecasting in social media.
Disk Usage as an Indicator of Vulnerability in Software Products.
Abstract not provided.
Utility usage forecasting
The computer creates a utility demand forecast model for weather parameters by receiving a plurality of utility parameter values, wherein each received utility parameter value corresponds to a weather parameter value. Determining that a range of weather parameter values lacks a sufficient amount of corresponding received utility parameter values. Determining one or more utility parameter values that corresponds to the range of weather parameter values. Creating a model which correlates the received and the determined utility parameter values with the corresponding weather parameters values.
IDC Reengineering Phase 2 Elaboration E3 Configures Station Usage Storyboard.
Abstract not provided.
Understanding Remedy Users and Usage with Stats
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Recent Developments and Usage of the Composite Tetrahedral Element in Solid Mechanics Applications.
Abstract not provided.