Essays about: "Short-term electricity load forecasting"

Showing result 1 - 5 of 7 essays containing the words Short-term electricity load forecasting.

  1. 1. Multivariate Short-term Electricity Load Forecasting with Deep Learning and exogenous covariates

    University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Author : Nordström Oscar; [2021]
    Keywords : Machine learning; Time series; Deep learning; Forecasting; Short-term electricity load forecasting; Artificial Neural Network;

    Abstract : Maintaining the electricity balance between supply and demand is a challenge for electricity suppliers. If there is an under or overproduction, it entails financial costs and affects consumers and the climate. To better understand how to maintain the balance, can the suppliers use short-term forecasts of electricity load. READ MORE

  2. 2. Machine Learning in Electricity Load Forecasting of Prosumer Buildings

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

    Author : Lu Zhao; [2021]
    Keywords : ;

    Abstract : Short-term load forecasting plays a key role in energy optimizations such as peaking shaving and cost arbitrage. Forecasting the aggregated load of a city or region has been researched for years and produced accurate results with time lead ranging from an hour to a week. READ MORE

  3. 3. 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

  4. 4. 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. 5. 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