Essays about: "säsongsvariationer"

Showing result 1 - 5 of 23 essays containing the word säsongsvariationer.

  1. 1. Assessment of hydrogen supply chain for transport sector of Sweden

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : José Maria Soares Rodrigues; [2023]
    Keywords : Hydrogen; Hydrogen Supply Chain; Elecrolysis; 2030; Sweden; Electricity prices; MILP; Optimization; Vätgas; Vätgassupplykedja; Elektrolys; 2030; Sverige; Elpriser; MILP; Optimering;

    Abstract : Fuel cell electric vehicles, powered by hydrogen are an enticing alternative to fossil-fuel vehicles in order to reduce greenhouse gas emissions and consequently accomplish the environmental targets set to tackle the environmental crisis. It is crucial to develop the appropriate infrastructure if the FCEVs are to be successfully accepted as an alternative to fossil-fuel vehicles. READ MORE

  3. 2. Developing a Cost Model For Combined Offshore Farms : The Advantages of Co-Located Wind and Wave Energy

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Eva Blech; [2023]
    Keywords : Wave Energy; Floating Offshore Wind; Co-located Wind-Wave Farm; Levelized Cost of Energy; Multi-Source Offshore Farm; Vågenergi; flytande havsbaserad vindkraft; samlokaliserad vind- och vågpark; nivellerad energikostnad; havsbaserad park med flera källor;

    Abstract : Previous research has displayed that multi-source farms provide an opportunity to reduce the cost of energy and improve the energy output quality. This thesis assesses the cost competitiveness of co-located wind-wave farms, specifically floating offshore wind (FLOW) turbines and CorPower’s wave energy converters (WEC). READ MORE

  4. 3. Forecasting post COVID-19 : How to improve forecasting models’ performance when training data has been aected by exceptional events like COVID-19 pandemic?

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Lina Shrebati; [2023]
    Keywords : Time Series; Forecasting; COVID-19; Data processing; Optimal transport; Tidsserier; Prognoser; COVID-19; Databehandling; Optimal transport;

    Abstract : Almost every company around the world were aected by the COVID-19 crisis and the government measures that were taken to slow the spread of the virus. The impact the crisis had on the economy caused the appearance of anomalies in the data collected by companies : such as abnormal trend, seasonality etc. READ MORE

  5. 4. Time Series Analysis and Binary Classification in a Car-Sharing Service : Application of data-driven methods for analysing trends, seasonality, residuals and prediction of user demand

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Aksel Uhr; [2023]
    Keywords : Smart mobility; Car-sharing; Time series analysis; Demand prediction; Machine learning; Supervised learning; Binary classification; Random forest; Smart mobilitet; Bildelning; Tidsseriaanalys; Efterfrågansprediktering; Maskininlärning; Väglett lärande; Binär klassificering; Slumpmässiga skogar;

    Abstract : Researchers have estimated a 20-percentage point increase in the world’s population residing in urban areas between 2011 and 2050. The increase in denser cities results in opportunities and challenges. Two of the challenges concern sustainability and mobility. READ MORE

  6. 5. Particle analysis of drinking water – an online, early warning system approach

    University essay from KTH/Industriell bioteknologi

    Author : Lova Lundquist Baumgartner; [2023]
    Keywords : Drinking water; online monitoring; machine learning; early warning system; baseline; Dricksvatten; online-övervakning; maskininlärning; system för tidig varning; tröskelnivå;

    Abstract : Med nya utmaningar för att tillgodose behoven av tjänligt dricksvatten hos konsumenter över hela världen krävs innovativa tekniker för övervakning av vattenkvalitet. I det här projektet undersöktes ett nytt instrument som detekterar och klassificerar partiklar i dricksvatten med hjälp av maskininlärda modeller. READ MORE