Day similarity metric model for short-term load forecasting supported by PSO and artificial neural network
Sign Up to like & getrecommendations! Published in 2021 at "Electrical Engineering"
DOI: 10.1007/s00202-021-01286-6
Abstract: This paper proposes a new model for optimal similar days selection and its use in short-term load forecasting based on artificial neural network. Proposed day similarity metric model is based on the multi-filtering process and… read more here.
Keywords: neural network; term load; load; short term ... See more keywords
Convolutional residual network to short-term load forecasting
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01932-9
Abstract: Since their inception, convolutional neural networks (CNNs) have been shown to have powerful feature extraction and learning capabilities, and the creation of deep residual networks (DRNs) was a milestone in the development of CNNs. However,… read more here.
Keywords: network; load forecasting; term load; load ... See more keywords
A regional hybrid GOA-SVM model based on similar day approach for short-term load forecasting in Assam, India
Sign Up to like & getrecommendations! Published in 2018 at "Energy"
DOI: 10.1016/j.energy.2017.12.156
Abstract: In today's restructuring electricity market, short-term load forecasting (STLF) is an essential tool for the electricity utilities to predict future scenario and act towards a profitable policy. The electric load demand is highly influenced by… read more here.
Keywords: load forecasting; svm; term load; model ... See more keywords
Short term load forecasting based on feature extraction and improved general regression neural network model
Sign Up to like & getrecommendations! Published in 2019 at "Energy"
DOI: 10.1016/j.energy.2018.10.119
Abstract: Along with the deregulation of electric power market as well as aggregation of renewable resources, short term load forecasting (STLF) has become more and more momentous. However, it is a hard task due to various… read more here.
Keywords: term load; load forecasting; load; short term ... See more keywords
Convolutional and recurrent neural network based model for short-term load forecasting
Sign Up to like & getrecommendations! Published in 2021 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2021.107173
Abstract: Abstract The consumed electrical load is affected by many external factors such as weather, season of the year, weekday or weekend and holiday. In this paper, it is tried to provide a high accurate forecasting… read more here.
Keywords: term load; term; load forecasting; load ... See more keywords
Effects of Clay Creep on Long-Term Load-Carrying Behaviors of Bored Piles: Aiming at Reusing Existing Bored Piles
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Geomechanics"
DOI: 10.1061/(asce)gm.1943-5622.0001769
Abstract: Abstract An analytical procedure is presented for assessing the long-term load-carrying behavior of bored piles in clay, where the plastic volumetric strain of surrounding clay caused by creep is e... read more here.
Keywords: long term; bored piles; load carrying; term load ... See more keywords
Short-term load forecasting for microgrids based on DA-SVM
Sign Up to like & getrecommendations! Published in 2019 at "COMPEL - The international journal for computation and mathematics in electrical and electronic engineering"
DOI: 10.1108/compel-05-2018-0221
Abstract: Purpose The study aims to accomplish the short-term load forecasting for microgrids. Short-term load forecasting is a vital component of economic dispatch in microgrids, and the forecasting error directly affects the economic efficiency of operation.… read more here.
Keywords: short term; forecasting microgrids; term load; load forecasting ... See more keywords
Short-Term Load Forecasting Based on Deep Learning for End-User Transformer Subject to Volatile Electric Heating Loads
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2949726
Abstract: Short-Term Load Forecasting (STLF) for End-User Transformer Level (EUTL) is challenging due to the high penetration of Electric Heating Loads (EHLs), which exhibit significant uncertainty, nonlinearity, and variability. In this paper, a STLF model is… read more here.
Keywords: term load; end user; load forecasting; load ... See more keywords
Peak Reduction and Long Term Load Forecasting for Large Residential Communities Including Smart Homes With Energy Storage
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DOI: 10.1109/access.2021.3052994
Abstract: Domestic load profiles in the residential sectors are being modified with the adoption of smart home management systems and solar generation. In addition, houses with rooftop PV behave like local generators, contributing to the growth… read more here.
Keywords: energy storage; term load; load; peak reduction ... See more keywords
Optimized Deep Stacked Long Short-Term Memory Network for Long-Term Load Forecasting
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3077275
Abstract: Long-term load forecasting (LTLF) is an essential process for strategical planning of the future needed extension in the power systems of any country. Besides, deep learning has become the heart of the machine learning paradigm,… read more here.
Keywords: term load; term; load forecasting; load ... See more keywords
Day-ahead Short-Term Load Forecasting for Holidays Based on Modification of Similar Days’ Load Profiles
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3150344
Abstract: Short-term load forecasting (STLF) is necessary for system operators; however, its difficulty has been increasing since distributed resources, particularly behind-the-meter (BTM) PV resources, have been introduced to power systems. This study proposes a framework for… read more here.
Keywords: load forecasting; load profiles; term load; load ... See more keywords