Forecasting quantiles of day-ahead electricity load
Sign Up to like & getrecommendations! Published in 2017 at "Energy Economics"
DOI: 10.1016/j.eneco.2017.08.002
Abstract: Accurate load forecasting plays a crucial role in the decision making process of many market participants, but probably is most important for the dispatch planning of an electricity market operator. Despite the competitive forecast accuracy… read more here.
Keywords: electricity load; load forecasting; electricity; forecasting quantiles ... See more keywords
Short term electricity load forecasting using a hybrid model
Sign Up to like & getrecommendations! Published in 2018 at "Energy"
DOI: 10.1016/j.energy.2018.06.012
Abstract: Abstract Short term electricity load forecasting is one of the most important issue for all market participants. Short term electricity load is affected by natural and social factors, which makes load forecasting more difficult. To… read more here.
Keywords: electricity load; load forecasting; term electricity; load ... See more keywords
Electricity load dynamics, temperature and seasonality Nexus in Algeria
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DOI: 10.1016/j.energy.2020.117513
Abstract: During the last decade, major changes have affected the electricity sector in Algeria. As consequence it recorded an important increase of electricity demand in energy and capacity under the mixt pressure of demography and socio-economic… read more here.
Keywords: electricity; electricity demand; electricity load; load dynamics ... See more keywords
Short-Term Electricity Load Forecasting Based on Temporal Fusion Transformer Model
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DOI: 10.1109/access.2022.3211941
Abstract: Electricity load forecasting plays an important role in the operation of power systems. Inaccurate forecast would reduce the safety of power supply and affect the economic and social activities as well as national defense and… read more here.
Keywords: term electricity; electricity load; load forecasting; electricity ... See more keywords
Hybrid Prophet-NAR Model for Short-Term Electricity Load Forecasting
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DOI: 10.1109/access.2025.3526735
Abstract: Electricity load forecasting is crucial for effective energy management, particularly in minimizing energy production and distribution costs. Traditional models like SARIMA and Singular Spectrum Analysis (SSA) have been widely used but often need to capture… read more here.
Keywords: load forecasting; nar model; electricity load; model ... See more keywords
A Contrastive-Learning-Based Abnormal Electricity Load Detection Method
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DOI: 10.1109/jiot.2024.3414304
Abstract: The detection of abnormal electricity load data using big data analysis technology has garnered considerable attention from the academic community. However, traditional methods often require ample labeled data to train the model which increases the… read more here.
Keywords: detection; electricity load; model; abnormal electricity ... See more keywords
Optimal Nonparametric Prediction Intervals of Electricity Load
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2020.2965799
Abstract: A novel machine learning based mixed integer programming model is developed for the optimal nonparametric prediction intervals (PIs) of electricity load, which minimizes interval width subject to target hit probability constraint. Binary variables are employed… read more here.
Keywords: electricity load; optimal nonparametric; prediction intervals; nonparametric prediction ... See more keywords
Macro-Factor Affecting the Electricity Load Demand in Power System
Sign Up to like & getrecommendations! Published in 2017 at "International Journal on Advanced Science, Engineering and Information Technology"
DOI: 10.18517/ijaseit.7.5.2278
Abstract: As Malaysia moves forward as a developed country, it is expected that electricity consumption will be increased when the economy, population and industry are growing. Therefore, this paper presents an analysis on the Macro-Factors such… read more here.
Keywords: macro factor; load demand; electricity load; demand ... See more keywords
The Electricity Load Prediction Model for Residential Buildings: A Critical Review of Output Types, Prediction Methods and Driving Factors
Sign Up to like & getrecommendations! Published in 2025 at "Buildings"
DOI: 10.3390/buildings15060925
Abstract: An electrification revolution in the Chinese building energy field has been promoted by China’s carbon peak and carbon neutrality goals. An accurate electricity load prediction was essential to resolve the conflict between substations which was… read more here.
Keywords: electricity load; prediction; load prediction; driving factors ... See more keywords
Research and Application of a Novel Hybrid Model Based on a Deep Neural Network for Electricity Load Forecasting: A Case Study in Australia
Sign Up to like & getrecommendations! Published in 2019 at "Energies"
DOI: 10.3390/en12132467
Abstract: Electricity load forecasting plays an essential role in improving the management efficiency of power generation systems. A large number of load forecasting models aiming at promoting the forecasting effectiveness have been put forward in the… read more here.
Keywords: electricity load; load forecasting; load; model ... See more keywords
Applying Multi-Task Deep Learning Methods in Electricity Load Forecasting Using Meteorological Factors
Sign Up to like & getrecommendations! Published in 2024 at "Mathematics"
DOI: 10.3390/math12203295
Abstract: The steady rise in carbon emissions has significantly exacerbated the global climate crisis, posing a severe threat to ecosystems due to the greenhouse gas effect. As one of the most pressing challenges of our time,… read more here.
Keywords: task; deep learning; multi task; electricity load ... See more keywords