Essays about: "Short Term Load Forecasting"

Showing result 6 - 10 of 15 essays containing the words Short Term Load Forecasting.

  1. 6. Short-term Power Load Forecasting Based on Machine Learning

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

    Author : Yusen Wang; [2020]
    Keywords : ;

    Abstract : Short-term power load forecasting is an important part of power system management.It is the premise of network structure planing, electricity tradingand load scheduling. The accuracy of power load forecasting is directly relatedto power system security, stability and economic operation. READ MORE

  3. 7. Time series analysis and forecasting : Application to the Swedish Power Grid

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Christian Fagerholm; [2019]
    Keywords : Time Series forecasting; ARIMA; SARIMA; Neural Network; RNN; Power grid; forecasting; smart grid;

    Abstract : n the electrical power grid, the power load is not constant but continuouslychanging. This depends on many different factors, among which the habits of theconsumers, the yearly seasons and the hour of the day. The continuous change inenergy consumption requires the power grid to be flexible. READ MORE

  4. 8. Anomaly detection in electricity demand time series data

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

    Author : Mahmood Bakhtawar Shah; [2019]
    Keywords : LSTM; FFNN; electricity load forecasting; anomaly detection;

    Abstract : The digitalization of the energy industry has made tremendous energy data available. This data is utilized across the entire energy value chain to provide value for customers and energy providers. READ MORE

  5. 9. Feature selection in short-term load forecasting

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

    Author : Max Joel Söderberg; Axel Meurling; [2019]
    Keywords : Short-term load forecasting; energy consumption forecasting; Linear regression; SVR; Random Forest; machine learning; regression; feature selection; attribute selection; Pearson correlation; Mutual information; correlation matrix; Two-way ANOVA; Tukey’s HSD test.; Kortsiktig lastprognos; Energiförbrukningsprognos; Linjär regression; SVR; Random forest; Maskininlärning; Attributval; Pearson-korrelation; Ömsesidig information; Korrelationsmatris; Tvåvägs ANOVA; Tukey’s HSD-test.;

    Abstract : This paper investigates correlation between energy consumption 24 hours ahead and features used for predicting energy consumption. The features originate from three categories: weather, time and previous energy. The correlations are calculated using Pearson correlation and mutual information. READ MORE

  6. 10. Short-Term Heat Load Forecasting in District Heating Systems : A Comparative Study of Various Forecasting Methods

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

    Author : Zacharias Poutiainen; [2019]
    Keywords : ;

    Abstract : Short term heat load forecasts are vital for optimal production planning and commitment of generation units. The generation utility also bares a balance responsibility toward the electricity market as a result of CHP generation. Sub-optimal load forecasts can lead to high costs relating to unit commitment, fuel usage and balancing costs. READ MORE