Sökning: "boosted regression trees"
Visar resultat 1 - 5 av 21 uppsatser innehållade orden boosted regression trees.
1. Energy Consumption Modelling for 5G Radio Base Stations with Machine Learning
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : With an ongoing energy crisis in Europe and an ever-evolving political climate where the environmental impacts of industries are regarded as a top priority, the topic of energy efficiency is high on everyone’s agenda. Mathematical optimization of energy consumption requires a model of the problem at hand. LÄS MER
2. Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenSammanfattning : This paper investigates the best methods for modeling hourly profiles in the German energy market for the period between 2018 and 2022. Modeling emphasized variable renewable energy (VRE) and included information on the level of energy production, oil price, COVID lockdowns, and historic hourly energy spot prices. LÄS MER
3. Modelling Airbnb Prices in the Maltese Islands
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenSammanfattning : The digital platform Airbnb has gained popularity in a number of countries particu- larly in the Maltese islands. Striking a balance in setting a price that is competitive and also renders a good profit can be a challenge. LÄS MER
4. Shoppin’ in the Rain : An Evaluation of the Usefulness of Weather-Based Features for an ML Ranking Model in the Setting of Children’s Clothing Online Retailing
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Online shopping offers numerous benefits, but large product catalogs make it difficult for shoppers to understand the existence and characteristics of every item for sale. To simplify the decision-making process, online retailers use ranking models to recommend products relevant to each individual user. LÄS MER
5. Credit Scoring Based on Behavioural Data
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Credit modelling has traditionally been done by credit institutes based on financial data about the individuals requesting the credit. While this has been sufficient in lowering risk in developed economies with plenty of financial data it is inefficient in developing economies and fails to reach the unbanked population. LÄS MER