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Photovoltaic and wind power forecasts in power systems with a high share of renewable energy are essential in several applications. These include stable grid operation, profitable power trading, and forward-looking system planning. However,…

Machine Learning · Computer Science 2022-04-04 Stephan Vogt , Jens Schreiber , Bernhard Sick

This study evaluates pilots' cognitive workload and situational awareness during remote small unmanned aircraft system operations in different wind conditions. To complement the urban air mobility concept that envisions safe, sustainable,…

Human-Computer Interaction · Computer Science 2023-09-12 Asma Tabassum , He Bai , Nicoletta Fala

Seaports play a crucial role in the global economy, and researchers have sought to understand their significance through various studies. In this paper, we aim to explore the common characteristics shared by important ports by analyzing the…

Unmanned Surface Vehicles (USVs) have become critical tools for marine exploration, environmental monitoring, and autonomous navigation. Accurate estimation of wave direction is essential for improving USV navigation and ensuring…

Machine Learning · Computer Science 2025-02-13 Manele Ait Habouche , Mickaël Kerboeuf , Goulven Guillou , Jean-Philippe Babau

Unmanned Aerial Vehicles (UAVs) play a crucial role in meteorological research, particularly in environmental wind field measurements. However, several challenges exist in current wind measurement methods using UAVs that need to be…

Robotics · Computer Science 2024-09-04 Haowen Yu , Xianqi Liang , Ximin Lyu

Echo-sounder data registered by buoys attached to drifting FADs provide a very valuable source of information on populations of tuna and their behaviour. This value increases whenthese data are supplemented with oceanographic data coming…

In large shipyards, the management of equipment, which are used for building a variety of ships, is critical. Because orders vary year to year, shipyard managers are required to determine methods to make the most of their limited resources.…

Machine Learning · Computer Science 2020-10-13 Hyeonju Lee , Jongho Lee , Minji An , Gunil Park , Sungchul Choi

The worldwide growth of maritime traffic and the development of the Automatic Identification System (AIS) has led to advances in monitoring systems for preventing vessel accidents and detecting illegal activities. In this work, we describe…

Machine Learning · Computer Science 2019-08-15 Lucas May Petry , Amilcar Soares , Vania Bogorny , Stan Matwin

The share of wind energy in total installed power capacity has grown rapidly in recent years around the world. Producing accurate and reliable forecasts of wind power production, together with a quantification of the uncertainty, is…

Applications · Statistics 2017-04-26 Amanda Lenzi , Ingelin Steinsland , Pierre Pinson

Understanding past and present maritime activity patterns is critical for navigation safety, environmental assessment, and commercial operations. An increasing number of services now openly provide positioning data from the Automatic…

Computational Engineering, Finance, and Science · Computer Science 2025-12-01 Moritz Hütten

Flapping-fin underwater vehicle propulsion systems provide an alternative to propeller-driven systems in situations that require involve a constrained environment or require high maneuverability. Testing new configurations through…

Robotics · Computer Science 2024-06-05 Julian Lee , Kamal Viswanath , Alisha Sharma , Jason Geder , Ravi Ramamurti , Marius D. Pruessner

The production of renewable and sustainable energy is one of the most important challenges currently facing mankind. Wind has made an increasing contribution to the world's energy supply mix, but still remains a long way from reaching its…

Neural and Evolutionary Computing · Computer Science 2015-07-02 Richard J. Preen , Larry Bull

Electricity generation from burning fossil fuels is one of the major contributors to global warming. Renewable energy sources are a viable alternative to produce electrical energy and to reduce the emission from the power industry. These…

Machine Learning · Computer Science 2021-07-14 Md Amimul Ehsan

This paper discusses a framework to design elements of the plant and control systems for floating offshore wind turbines in an integrated manner using linear parameter-varying models. Multiple linearized models derived from aeroelastic…

Systems and Control · Electrical Eng. & Systems 2023-11-09 Athul Krishna Sundarrajan , Yong Hoon Lee , James T Allison , Daniel Zalkind , Daniel Herber

The oceans are a source of an impressive mixture of complex data that could be used to uncover relationships yet to be discovered. Such data comes from the oceans and their surface, such as Automatic Identification System (AIS) messages…

Machine Learning · Computer Science 2024-09-06 Gabriel Spadon , Martha D. Ferreira , Amilcar Soares , Stan Matwin

This paper investigates how to efficiently and economically deliver offshore energy generated by offshore wind turbines to onshore. Both power cables and hydrogen energy facilities are analyzed. Each method is examined with the associated…

Systems and Control · Electrical Eng. & Systems 2023-01-27 Jesus Silva-Rodriguez , Jin Lu , Xingpeng Li

In situ and remotely sensed observations have potential to facilitate data-driven predictive models for oceanography. A suite of machine learning models, including regression, decision tree and deep learning approaches were developed to…

Atmospheric and Oceanic Physics · Physics 2020-06-24 Stefan Wolff , Fearghal O'Donncha , Bei Chen

The understanding of interaction effects between marine energy converters represents the next step in the research process that should eventually lead to the deployment of such devices. Although some a priori considerations have been…

Fluid Dynamics · Physics 2013-10-21 Paul Mycek , Benoît Gaurier , Grégory Germain , Grégory Pinon , Elie Rivoalen

Wind turbine power curve models translate ambient conditions into turbine power output. They are essential for energy yield prediction and turbine performance monitoring. In recent years, increasingly complex machine learning methods have…

Machine Learning · Computer Science 2025-04-08 Simon Letzgus , Klaus-Robert Müller

Autonomous shipping has recently gained much interest in the research community. However, little research focuses on inland - and port navigation, even though this is identified by countries such as Belgium and the Netherlands as an…