A Hybrid Approach to Short-Term Load Forecasting Aimed at Bad Data Detection in Secondary Substation Monitoring Equipment. [PDF]
Sensors (Basel), 2018 Martín P +4 more
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A dataset of exogenous variables and historical electricity demand for short-term load forecasting of the national interconnected electric system (SENI) in the Dominican Republic from 2021 to 2024. [PDF]
Data BriefUceta-Acosta RO +5 more
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Fisher Information Based Meteorological Factors Introduction and Features Selection for Short-Term Load Forecasting. [PDF]
Entropy (Basel), 2018 Cai S, Liu L, Sun H, Yan J.
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REDf: a deep learning model for short-term load forecasting to facilitate renewable integration and attaining the SDGs 7, 9, and 13. [PDF]
PeerJ Comput SciMiah MSU +5 more
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Improved Neural Networks with Random Weights for Short-Term Load Forecasting. [PDF]
PLoS One, 2015 Lang K, Zhang M, Yuan Y.
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Predictive models for short-term load forecasting in the UK's electrical grid. [PDF]
PLoS OneSha'aban YA.
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UniLF: A novel short-term load forecasting model uniformly considering various features from multivariate load data. [PDF]
Sci RepZhou S, Zhang Q, Xiao P, Xu B, Luo G.
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Deep learning-driven hybrid model for short-term load forecasting and smart grid information management. [PDF]
Sci RepWen X, Liao J, Niu Q, Shen N, Bao Y.
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Fuzzy Clustering-Based Deep Learning for Short-Term Load Forecasting in Power Grid Systems Using Time-Varying and Time-Invariant Features. [PDF]
Sensors (Basel)Chan KY, Yiu KFC, Kim D, Abu-Siada A.
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A New Approach to Detection of Systematic Errors in Secondary Substation Monitoring Equipment Based on Short Term Load Forecasting. [PDF]
Sensors (Basel), 2016 Moriano J +4 more
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