Blar i Scientific Publications in Engineering Sciences på forfatter "Goodwin, Morten"
-
A novel strategy for solving the stochastic point location problem using a hierarchical searching scheme
Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John; Goodwin, Morten (Journal article, 2014)Stochastic point location (SPL) deals with the problem of a learning mechanism (LM) determining the optimal point on the line when the only input it receives are stochastic signals about the direction in which it should ... -
Accurate Wound and Lice Detection in Atlantic Salmon Fish Using a Convolutional Neural Network
Gupta, Aditya; Bringsdal, Even; Knausgård, Kristian Muri; Goodwin, Morten (Peer reviewed; Journal article, 2022)The population living in the coastal region relies heavily on fish as a food source due to their vast availability and low cost. This need has given rise to fish farming. Fish farmers and the fishing industry face serious ... -
ANN modelling of CO2 refrigerant cooling system COP in a smart warehouse
Opalic, Sven Myrdahl; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Pardiñas, Ángel Á.; Hafner, Armin; Kolhe, Mohan Lal (Peer reviewed; Journal article, 2020)Industrial cooling systems consume large quantities of energy with highly variable power demand. To reduce environmental impact and overall energy consumption, and to stabilize the power requirements, it is recommended to ... -
Augmented Random Search with Artificial Neural Networks for energy cost optimization with battery control
Opalic, Sven Myrdahl; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Kolhe, Mohan Lal (Peer reviewed; Journal article, 2022)Intermittent renewable energy production and dynamic load must be balanced through appropriate control of integrated energy storage to account for the temporal discrepancy among power supply and demand. Intelligent control ... -
Development of a Simulator for Prototyping Reinforcement Learning based Autonomous Cars
Holen, Martin; Knausgård, Kristian Muri; Goodwin, Morten (Peer reviewed; Journal article, 2022)Autonomous driving is a research field that has received attention in recent years, with increasing applications of reinforcement learning (RL) algorithms. It is impractical to train an autonomous vehicle thoroughly in the ... -
Evaluating Anomaly Detection Algorithms through different Grid scenarios using k-Nearest Neighbor, iforest and Local Outlier Factor
Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (Chapter; Peer reviewed, 2022)Detection of anomalies based on smart meter data is crucial to identify potential risks and unusual events at an early stage. The available advanced information and communicating platform and computational capability renders ... -
Farm-Scale Crop Yield Prediction from Multi-Temporal Data Using Deep Hybrid Neural Networks
Engen, Martin; Sandø, Erik; Sjølander, Benjamin Lucas Oscar; Arenberg, Simon; Gupta, Rashmi; Goodwin, Morten (Peer reviewed; Journal article, 2021) -
Relative evaluation of regression tools for urban area electrical energy demand forecasting
Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (Journal article; Peer reviewed, 2019)Load forecasting is the most fundamental application in Smart-Grid, which provides essential input to Demand Response, Topology Optimization and Abnormally Detection, facilitating the integration of intermittent clean ... -
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
Goodwin, Morten; Halvorsen, Kim Aleksander Tallaksen; Jiao, Lei; Knausgård, Kristian Muri; Martin, Angela Helen; Moyano, Marta; Oomen, Rebekah Alice; Rasmussen, Jeppe Have; Sørdalen, Tonje Knutsen; Thorbjørnsen, Susanna Huneide (Peer reviewed; Journal article, 2022)The deep learning (DL) revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. New methods provide analysis of data from ... -
Vertical Approach Anomaly Detection Using Local Outlier Factor
Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (Chapter; Peer reviewed, 2023)Detection of anomalies based on smart meter data is crucial to identify potential risks and unusual events at an early stage. In addition anomaly detection can be used as a tool to detect unwanted outliers, caused by ...