Essays about: "optimal forecasting"
Showing result 1 - 5 of 65 essays containing the words optimal forecasting.
-
1. Demand Forecasting of Automobile Spare Parts after the End-of-Production - A review of demand forecasting models
University essay from Göteborgs universitet/Graduate SchoolAbstract : Demand forecasting of spare parts plays a crucial role in automobile industry where it generally requires a significant attention in controlling inventory. It is possible to maintain an optimal stock level when there is a continues supply at the Original Equipment Manufacturers (OEMs). READ MORE
-
2. Forecasting Volatility of Ether- An empirical evaluation of volatility models and their capacity to forecast one-day-ahead volatility of Ether
University essay from Göteborgs universitet/Graduate SchoolAbstract : This study evaluates the performance of volatility models in forecasting one-day-ahead volatility of the cryptocurrency Ether. The selected models are: GARCH, EGARCH, GJR-GARCH, SMA9, SMA20, and EWMA. We investigate both in-sample performance and out-of-sample performance. READ MORE
-
3. Wind Turbine Recovery Forecasting using Survival Analysis
University essay from Lunds universitet/Matematisk statistikAbstract : The goal of this thesis is to present a methodology for predicting time until recovery of failed wind turbines. The necessity is motivated by the potential for more accurate wind energy export forecasts. The current approach rests entirely on having an expert examine the turbine and produce a time estimate. READ MORE
-
4. Forecasting of Heat Pump Power Consumption using Neural Networks
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : With the increase in electricity generation from renewable sources over recent years, the demand for ancillary services providing balancing support in the grid has risen. Demand side regulation can be performed by regulating consumption of some household devices, which can act as a virtual battery that can be loaded and unloaded into the grid. READ MORE
-
5. 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)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