Browsing Department of Electrical and Computer Engineering (TN-IDE) by Subject "artificial neural network"
Now showing items 1-3 of 3
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Household Power Demand Prediction Using Evolutionary Ensemble Neural Network Pool with Multiple Network Structures
(Peer reviewed; Journal article, 2019-02)The progress of technology on energy and IoT fields has led to an increasingly complicated electric environment in low-voltage local microgrid, along with the extensions of electric vehicle, micro-generation, and local ... -
Predict the flow of well fluids : a big data approach
(Master thesis, 2014-06-26)In the oil and gas industry, millions of records of data are registered every day. The data is composed by a mix of structured and unstructured sources. For example downhole gauges and wellhead sensors are logging pressure ... -
Smart Meter Based Load Forecasting for Residential Customers Using Machine Learning Algorithms
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-12)The focus of this thesis is the use of machine learning algorithms to perform next step short term load forecasting on fifty five households in Stavanger, Norway. A dataset containing electricity consumption data for more ...