ENGG 390 Reports (MEM Students)

Authors

Ning ZhuFollow

Degree Program

M.E.M

Year of Graduation

2019

Faculty Advisor

Geoff G. Parker

Document Type

Report

Publication Date

Summer 2018

Abstract

The increasing proliferation of renewables and distributed energy resources makes the traditional top-down forecasting approach not powerful enough to represent the demand side diversity. Therefore, the aim of this project was to develop a bottom-up model that captures the electricity consumption patterns of individual end uses at the appliance level. To achieve this, a time-inhomogeneous Markov chain was built in R to model the end users’ activities, and the activity pattern was then converted to consumption patterns by appliance types. The goals were to offer better insights for demand-side management and to identify opportunities in the space of digital businesses.

Level of Access

Restricted: Campus/Dartmouth Community Only Access

Restricted

Available to Dartmouth community via local IP address.

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