Essays about: "efterfrågan prognos"

Showing result 6 - 10 of 23 essays containing the words efterfrågan prognos.

  1. 6. What would be the highestelectrical loads with -20°C inStockholm in 2022 ? : A study of the sensitivity of electrical loads to outdoor temperature in Stockholm region.

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

    Author : Magali Mellon; [2022]
    Keywords : Data-driven approach; Electrical load forecasting; Temperature sensitivity; Linear Regression; Time series analysis; SARIMAX;

    Abstract :  In the last 10 years, no significant increase in the peak electricity consumption of the region of Stockholm has been observed, despite new customers being connected to the grid. But, as urbanization continues and with electrification being a decisive step of decarbonization pathways, more growth is expected in the future. READ MORE

  3. 7. High Frequency Demand Forecasting : The Case of a Swedish Pharmacy Retailer

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

    Author : Aban Saleem; [2022]
    Keywords : Retail; Forecast; Pharmacy; SARIMA; Holt-Winter’s method; Facebook Prophet; high-frequency; Retail; Prognos; Pharmacy; SARIMA; Holt-Winter’s metod; Face- book Prophet; hög frekvens;

    Abstract : Predicting future sales can bring many advantages to retailers with regards to organizational performance. Using big data to make accurate forecasts can enable retailer to improve their operational performance and profitability substantially by reducing lost sales, inventory levels and labor costs. READ MORE

  4. 8. Utilizing Hybrid Ensemble Prediction Model In Order to Predict Energy Demand in Sweden : A Machine-Learning Approach

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

    Author : Binxin Su; [2022]
    Keywords : Energy Demand Prediction; Machine Learning; Hybrid Model; Ensemble Model; Random Forest; XGBoost; CatBoost; Prognos av Energiefterfrågan; Maskininlärning; Hybridmodell; Ensemblemodell; Random Forest; XGBoost; CatBoost;

    Abstract : Conventional machine learning (ML) models and algorithms are constantly advancing at a fast pace. Most of this development are due to the implementation of hybrid- and ensemble techniques that are powerful tools to complement and empower the efficiency of the algorithms. READ MORE

  5. 9. Developing an optimization model to determine AGV fleet size given the capacity of machines and vehicles in the production industry

    University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Author : Milad Zaher; Ale El Ghazzi; [2021]
    Keywords : AGV; FMS; AGV fleet size; Optimization; Machine capacity; Production; AGV; FMS; AGV fleet size; Optimering; Maskinkapacitet; Produktion;

    Abstract : Background: In the present competitive environment manufacturing firms have shifted their production from mass production to mass customization. In this line, a flexible manufacturing system (or FMS) has evolved to the changing requirements. READ MORE

  6. 10. Phase-Out Demand Forecasting : Predictive modeling on forecasting product life cycle

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

    Author : Shadman Ahmed; [2020]
    Keywords : ;

    Abstract : The phase-out stage in a product life cycle can face unpredictable demand. Accurate forecast of the phase-out demand can help supply chain managers to control the number of obsolete inventories. Consequently, having a positive effect in terms of resources and lower scrap costs. READ MORE