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Full-Text Articles in Engineering
Machine Learning In Support Of Electric Distribution Asset Failure Prediction, Robert D. Flamenbaum, Thomas Pompo, Christopher Havenstein, Jade Thiemsuwan
Machine Learning In Support Of Electric Distribution Asset Failure Prediction, Robert D. Flamenbaum, Thomas Pompo, Christopher Havenstein, Jade Thiemsuwan
SMU Data Science Review
In this paper, we present novel approaches to predicting as- set failure in the electric distribution system. Failures in overhead power lines and their associated equipment in particular, pose significant finan- cial and environmental threats to electric utilities. Electric device failure furthermore poses a burden on customers and can pose serious risk to life and livelihood. Working with asset data acquired from an electric utility in Southern California, and incorporating environmental and geospatial data from around the region, we applied a Random Forest methodology to predict which overhead distribution lines are most vulnerable to fail- ure. Our results provide evidence …
Visualizing United States Energy Production Data, Bruce P. Kimbark, Melissa Luzardo, Charles South, James Taber
Visualizing United States Energy Production Data, Bruce P. Kimbark, Melissa Luzardo, Charles South, James Taber
SMU Data Science Review
Power plants production, load, financials and environmental impact from power plants in the United States is publicly available either from the Energy Information Administration, the Environmental Protection Agency or Lazard among others. The general public is interested in US energy production and its potential environmental impact but the available information is complex and difficult to properly understand and not shared in ways that are accessible. Our objective was to gather this data and create different interactive visualizations that make it consumable. Each of the five visualization was designed to explain a specific part of energy that together can provide a …
Operation And Planning Of Data Centers In Electricity Networks, Ali Vafamehr
Operation And Planning Of Data Centers In Electricity Networks, Ali Vafamehr
Electrical Engineering Theses and Dissertations
Cloud computing provides unique opportunities for the various sectors of the economy such as the automotive industry, education, finance, and governmental entities. In-house IT infrastructures vary in quality and can often be outdated and ineffective. As an alternative, cloud computing is a popular IT model which allows various businesses to “outsource” the IT infrastructure to a more efficient model. Businesses are opting to use cloud computing in order to eliminate the capital expenses of traditional IT systems and reduce the around-the-clock expert manpower required to operate on-site IT infrastructures. Relying on cloud services gives businesses the flexibility to access a …