Sökning: "forecasting accuracy"

Visar resultat 1 - 5 av 178 uppsatser innehållade orden forecasting accuracy.

  1. 1. Root Cause Analysis for In-Transit Time Performance : Time Series Analysis for Inbound Quantity Received into Warehouse

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Raman Ali; [2021]
    Nyckelord :Logistic; Time Series; Forecast; Inbound logistics; In-Transit;

    Sammanfattning : Cytiva is a global provider of technologies to global pharmaceutical companies and it is critical to ensure that Cytiva’s customers receive deliveries of products on-time. Cytiva’s products are shipped via road transportation within most parts of Europe and for the rest in the world air freight is used. LÄS MER

  2. 2. Interpretable serious event forecasting using machine learning and SHAP

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Sebastian Gustafsson; [2021]
    Nyckelord :LSTM; GBDT; SHAP; ML; AI;

    Sammanfattning : Accurate forecasts are vital in multiple areas of economic, scientific, commercial, and industrial activity. There are few previous studies on using forecasting methods for predicting serious events. LÄS MER

  3. 3. Analysis of AEP prediction against production data of commercial wind turbines in Sweden

    Master-uppsats, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet; Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Författare :Aromal Sugathan; Sean Gregory; [2021]
    Nyckelord :Energy assessment; validation; wind power; Sweden; P50; AEP; WCP;

    Sammanfattning : Based on data from 2083 wind turbines installed in Sweden since 1988, the annual energy production (AEP) predictions considered at the project planning phases of the wind turbines in Sweden have been compared to the wind-index-corrected production data. The production data and the predicted AEP data are taken from Vindstat, a database that collects information directly from wind turbine owners in Sweden. LÄS MER

  4. 4. Sales Forecasting by Assembly of Multiple Machine Learning Methods : A stacking approach to supervised machine learning

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik; Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Anton Falk; Daniel Holmgren; [2021]
    Nyckelord :machine learning; statistical learning; statistics; random forest; xgboost; sarima; stacking; support vector regression; svr; linear regression; sales; sales forcasting; forecasting; time series;

    Sammanfattning : Today, digitalization is a key factor for businesses to enhance growth and gain advantages and insight in their operations. Both in planning operations and understanding customers the digitalization processes today have key roles, and companies are spending more and more resources in this fields to gain critical insights and enhance growth. LÄS MER

  5. 5. Multivariate Short-term Electricity Load Forecasting with Deep Learning and exogenous covariates

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Författare :Nordström Oscar; [2021]
    Nyckelord :Machine learning; Time series; Deep learning; Forecasting; Short-term electricity load forecasting; Artificial Neural Network;

    Sammanfattning : Maintaining the electricity balance between supply and demand is a challenge for electricity suppliers. If there is an under or overproduction, it entails financial costs and affects consumers and the climate. To better understand how to maintain the balance, can the suppliers use short-term forecasts of electricity load. LÄS MER