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Monitoring energy consumption and diagnosing abnormal behavior will enable utilities to introduce strategies to improve system resiliency, stability, and to meet energy efficiency targets. The deployment of advanced metering infrastructure (AMI) enables utilities to collect various raw data from its customers and networks. This paper presents contextual anomaly detection algorithm to detect irregular...
Plug-in Electric Vehicles (PEV) battery chargers are mostly connected to the low-voltage grid for charging. Their increased penetration coupled with uncoordinated charging could impact the distribution system in terms of unbalanced voltage and transformer overloading. Although PEV battery charging is increasing, impact on the distribution system is not fully investigated. This paper focuses on unbalanced...
This paper introduces an artificial neural network (ANN) based model for microturbine (MT) power plant. Microturbines (MTs) as efficient combined power and heat sources demonstrate a high potential to meet users' needs for distributed generation and microgrid applications. To understand and investigate the MT operation characteristics, a simple yet accurate model of the microturbine is essential....
This paper describes the development of laboratory-based power engineering program at the University of Tennessee at Chattanooga (UTC). Electrical Engineering Department of UTC, which is strategically located in the middle of the several power utilities, such as Tennessee Valley Authority (TVA), Electric Power Board (EPB), and Tennessee Valley Public Power Association (TVPPA), realizes the urgent...
This paper presents an effective and efficient financial-structural model for short-term generating unit asset valuation. A novel forward-moving quasi-Monte Carlo (QMC) simulation technique in conjunction with backward-moving dynamic programming is introduced. At any time, when commitment decision can be made, it is relied upon the present realization of electricity and fuel prices. The decision whether...
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