Giving the increasing penetration of intermittent wind power in the liberalized electricity market, wind power forecasting (WPF) is a topic of growing importance [Kariniotakis, 2017]. The number of papers on the field WPF evaluating the statistical performance has increased rapidly, while only a proportion of the former studies focus on the economic benefit of WPF. In this study we have answered how ...

Gravity core HH18-1500GC retrieved from the Hinlopen Trough, Arctic Ocean, has been investigated in order to reconstruct the climatic evolution and ocean circulation over the last 16 000 years. The core was taken at the edge of the trough on the northern Svalbard shelf in order to be certain to reach into till, with the intent of dating the retreat of the ice sheet. The Fram Strait is located between ...

The thesis aims to detect the primary interfaces in ground-penetrating radar (GPR) data collected from a snow-pack. An airborne drone was used to collect the data, where a 2D image of the substructures was gattered, including GPS and laser altimeter data. Al these were used under the thesis to develop the method or presentation of the results. The method focused on simpler image processing techniques ...

In this thesis time series forecasting is reviewed and performed on electrical load time series. The main dataset that is used consists of 4074 load time series, each collected from a secondary substation. The time series in this set cover hourly observations spanning more than 2 years, and these time series all have different patterns, some being more similar to each other. We explore how we ...

The increasing amount of intermittant wind energy sources connected to the power grid present several challenges in balancing the power network. Accurate prediction of wind power production is identified as one of the most important measures for balancing the power network while maintaining a sustainable integration of wind power in the power grid. However, the volatile nature of wind makes wind ...

Plastic pollution is ubiquitous across marine environments, yet detection of anthropogenic debris in the global oceans is in its infancy. Here, we exploit high-resolution multispectral satellite imagery over the North Pacific Ocean and information from GPS-tracked floating plastic conglomerates to explore the potential for detecting marine plastic debris via spaceborne remote sensing platforms. ...

The establishment of smart grids and the introduction of distributed generation posed new challenges in energy analytics that can be tackled with machine learning algorithms. The latter, are able to handle a combination of weather and consumption data, grid measurements, and their historical records to compute inference and make predictions. An accurate energy load forecasting is essential to assure ...

Remiks AS har gjennom flere år gjort en kartlegging av klimagassutslipp knyttet til egen virksomhet. På bakgrunn av dette er det iverksatt flere tiltak på aktuelle områder som har blitt identifisert. Det er i midlertidig ikke sikkert at investeringene som er gjort er de mest effektive tiltakene om man vurderer kostnadene mot klimanytten. Denne studien vil vurdere tiltakene solenergi, biodrivstoff, ...

With an increasing demand for power on a global scale, and an increasing interest in renewable energy sources, both solar and wind power is growing fast. Their efficiency is increasing while the prices are decreasing, and the forecasts for these technologies shows a promising future. Along with these intermittent energy sources, storage solutions are also continuously developing, whereas pumped ...

Renewable means of energy production have recently become cost competitive with fossil fuels. However, before they can be completely phased out, the issue of storing renewable energy must be addressed. Two energy storage technologies that have gotten a lot of attention over the past years are lithium ion batteries and hydrogen energy storage. Each of these technologies have their advantages, ...