Essays about: "RMSE"

Showing result 31 - 35 of 234 essays containing the word RMSE.

  1. 31. Estimation of Site-Specific Biomass and Leaf Area Index in a Young Scots pine Stand in Southern Sweden

    University essay from SLU/Southern Swedish Forest Research Centre

    Author : Olamide Michael Adu; [2023]
    Keywords : Scots pine; Biomass estimation; Leaf area index; Model validation; Site-specific models;

    Abstract : Accurate biomass and leaf area index (LAI) estimation are crucial for understanding forest productivity and carbon dynamics. Models are crucial to estimating forest biomass and LAI. This study aimed to estimate site-specific aboveground biomass and LAI in a young Scots pine stand in southern Sweden. READ MORE

  2. 32. Static Extrinsic Calibration of a Vehicle-Mounted Lidar Using Spherical Targets

    University essay from Umeå universitet/Institutionen för fysik

    Author : Philip Sandström; [2023]
    Keywords : ;

    Abstract : Self-driving cars are steadily becoming a reality by a growing number of driver assistance functions enabled by smart perception sensors. The light detection and ranging (lidar) sensor show great potential for perception tasks due to its precise distance measurements. READ MORE

  3. 33. Forecasting CO2 Emissions in Sweden with a Bayesian Neural Network

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

    Author : Kayode Adebowale; Robin Uzel; [2023]
    Keywords : ;

    Abstract : Carbon dioxide (CO2) is the main constituent of greenhouse gases whose increasing concentrations creates a multitude of different environmental problems. Developing an effective predictive modell for forecasting CO2 is therefore of great importance for future policymakers. READ MORE

  4. 34. Forecasting Monthly Swedish Air Traveler Volumes

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Mark Becker; Peter Jarvis; [2023]
    Keywords : Forecasting; SARIMA; Neural network autoregression; Exponential smoothing; the Prophet model; Random Walk; MAE; MAPE; RMSE;

    Abstract : In this paper we conduct an out-of-sample forecasting exercise for monthly Swedish air traveler volumes. The models considered are multiplicative seasonal ARIMA, Neural network autoregression, Exponential smoothing, the Prophet model and a Random Walk as a benchmark model. READ MORE

  5. 35. Battery Capacity Prediction Using Deep Learning : Estimating battery capacity using cycling data and deep learning methods

    University essay from Mälardalens universitet/Framtidens energi

    Author : Josefin Rojas Vazquez; [2023]
    Keywords : Battery management system; Lithium-ion batteries; battery degradation mechanisms; battery cycle life; Electrical impedance spectroscopy; Capacity estimation; Incremental capacity analysis; Deep learning models; Equivalent circuit model; Long short-term memory; Feedforward neural network; Conventional neural network; multi-channel data; Incremental capacity analysis;

    Abstract : The growing urgency of climate change has led to growth in the electrification technology field, where batteries have emerged as an essential role in the renewable energy transition, supporting the implementation of environmentally friendly technologies such as smart grids, energy storage systems, and electric vehicles. Battery cell degradation is a common occurrence indicating battery usage. READ MORE