Essays about: "MAE"

Showing result 16 - 20 of 137 essays containing the word MAE.

  1. 16. Mathematical Model for Inverter Power Output in PV Parks

    University essay from Uppsala universitet/Institutionen för materialvetenskap

    Author : Shashidhar Suragimath; [2023]
    Keywords : Mathematical Modelling; PV System; Energy Systems; Solar Inverter; Forecasting;

    Abstract : Solar photovoltaic (PV) parks have proliferated all over the world as a result of the growing demand for electricity, and especially electricity from renewables. As these parks become larger and complex, it becomes increasingly important to develop accurate and efficient mathematical models that can be used to predict their performance and optimize their design. READ MORE

  2. 17. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Humphry Takang Bate; [2023]
    Keywords : ;

    Abstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE

  3. 18. EVALUATING PERFORMANCE OF GENERATIVE MODELS FOR TIME SERIES SYNTHESIS

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Muhammad Junaid Haris; [2023]
    Keywords : GAN; Generative Adversarial Network; VQ-VAE; Vector Quantized Variational AutoEncoder; AutoEncoder; VAE; Time Series; Synthesizing; Data Synthesis;

    Abstract : Motivated by successes in the image generation domain, this thesis presents a novel Hybrid VQ-VAE (H-VQ-VAE) approach for generating realistic synthetic time series data with categorical features. The primary motivation behind this work is to address the limitations of existing generative models in accurately capturing the underlying structure and patterns of time series data, especially when dealing with categorical features. READ MORE

  4. 19. Detecting Metro Service Disruptions and Predicting their Spillover Effects throughout the Network using GTFS and Large-Scale Vehicle Location Data

    University essay from KTH/Transportplanering

    Author : WeiZhi Michelle Teo; [2023]
    Keywords : ;

    Abstract : One of the top factors that influence commuters’ satisfaction level with public transport is the punctuality of the service. Commuters rely on public transport to get them from their origin to destination on time and any form of delay will incur additional cost to both the commuters as well as the public transport operators. READ MORE

  5. 20. Forecasting copper price using VAR and the XGBoost model: an experiment with a relatively small dataset

    University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

    Author : Juanli Hu; [2023]
    Keywords : copper price; Vector autoregressive model; XGBoost; Time series; Business and Economics;

    Abstract : Given the importance of copper prices to investors, governments, and policymakers, this paper investigates short-term price predictability using VAR and XGBoost models. All models are trained with historical data from November 2021 to December 2022 and using MSE, RMSE and MAE for evaluating the model performance. READ MORE