Open Access. Powered by Scholars. Published by Universities.®

2018

Discipline
Institution
Keyword
Publication
Publication Type
File Type

Articles 31 - 32 of 32

Full-Text Articles in Energy Policy

Addressing Policy Challenges To Woody Biopower Production: Social Acceptance, Biomass Certification And Limited Policy Support, John B. Barnett Jan 2018

Addressing Policy Challenges To Woody Biopower Production: Social Acceptance, Biomass Certification And Limited Policy Support, John B. Barnett

Dissertations, Master's Theses and Master's Reports

Forestlands have been identified as a valuable resource to mitigate climate change due to the biome’s capacity to both sequester greenhouse gases and substitute for fossil fuels. Woody biomass has been proposed as a substitutable input for coalgenerated electricity as economies attempt to transition to renewable power while addressing economic development goals. However, increasing the intensity of forest management for energy production has the potential to result in significant ecological, economic and social consequences at local, regional and global scales. In this context, my dissertation explores the capacity of existing policy frameworks to stimulate and support sustainable power production from …


A Review Of Unsupervised Statistical Learning And Visual Analytics Techniques Applied To Performance Analysis Of Non-Residential Buildings, Clayton Miller, Zoltán Nagy, Arno Schlueter Jan 2018

A Review Of Unsupervised Statistical Learning And Visual Analytics Techniques Applied To Performance Analysis Of Non-Residential Buildings, Clayton Miller, Zoltán Nagy, Arno Schlueter

Research Collection College of Integrative Studies

Measured and simulated data sources from the built environment are increasing rapidly. It is becoming normal to analyze data from hundreds, or even thousands of buildings at once. Mechanistic, manual analysis of such data sets is time-consuming and not realistic using conventional techniques. Thus, a significant body of literature has been generated using unsupervised statistical learning techniques designed to uncover structure and information quickly with fewer input parameters or metadata about the buildings collected. Further, visual analytics techniques are developed as aids in this process for a human analyst to utilize and interpret the results. This paper reviews publications that …