Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp01kd17cw299
Title: | Designing a Task Scheduler for Off-Grid Systems |
Authors: | Sandoval, Deborah |
Advisors: | Hazan, Elad |
Department: | Computer Science |
Class Year: | 2016 |
Abstract: | Off-grid systems that use solar power can be significantly effected by cloudy days or limited resources. To minimize the use of back-up generators, residents may try to lower their consumption until the sun comes out again, which can be a great inconvenience. A scheduler that uses forecasting methods to predict battery storage levels can be useful in informing a user about the optimal times to complete tasks. The scheduler design uses generation and consumption models from previous work and data from an actual off-grid facility to determine optimal. The scheduler appears to be more efficient than immediate or random task scheduling over the course of a week. There is plenty of room for improvements, as the scheduler makes many assumptions about the states and structures of off-grid systems. |
Extent: | 30 pages |
URI: | http://arks.princeton.edu/ark:/88435/dsp01kd17cw299 |
Type of Material: | Princeton University Senior Theses |
Language: | en_US |
Appears in Collections: | Computer Science, 1987-2023 |
Files in This Item:
File | Size | Format | |
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Sandoval_Deborah_2016_Thesis.pdf | 620.28 kB | Adobe PDF | Request a copy |
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