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Design Day Analysis - Forecasting Extreme Daily Natural Gas Demand, David Joseph Kaftan
Design Day Analysis - Forecasting Extreme Daily Natural Gas Demand, David Joseph Kaftan
Master's Theses (2009 -)
This work provides a framework for Design Day analysis. First, we estimate the temperature conditions which are expected to be colder than all but one day in N years. This temperature is known as the Design Day condition. Then, we forecast an upper bound on natural gas demand when temperature is at the Design Day condition. Natural gas distribution companies (LDCs) need to meet demand during extreme cold days. Just as bridge builders design for a nominal load, natural gas distribution companies need to design for a nominal temperature. This nominal temperature is the Design Day condition. The Design Day …
Data Cleaning In The Energy Domain, Hermine Nathalie Akouemo Kengmo Kenfack
Data Cleaning In The Energy Domain, Hermine Nathalie Akouemo Kengmo Kenfack
Dissertations (1934 -)
This dissertation addresses the problem of data cleaning in the energy domain, especially for natural gas and electric time series. The detection and imputation of anomalies improves the performance of forecasting models necessary to lower purchasing and storage costs for utilities and plan for peak energy loads or distribution shortages. There are various types of anomalies, each induced by diverse causes and sources depending on the field of study. The definition of false positives also depends on the context. The analysis is focused on energy data because of the availability of data and information to make a theoretical and practical …