Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-019-05252-7
Abstract: Accurate electric load forecasting can provide critical support to makers of energy policy and managers of power systems. The support vector regression (SVR) model can be hybridized with novel meta-heuristic algorithms not only to identify… read more here.
Keywords: electric load; model; load forecasting; support vector ... See more keywords
From residential electric load profiles to flexibility profiles – A stochastic bottom-up approach
Sign Up to like & getrecommendations! Published in 2020 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2020.110133
Abstract: Abstract This paper presents a stochastic bottom-up model for flexibility in the residential electric load profile. The model accounts for user-behaviour and all relevant technologies, characterising their diversity in sizing and controller settings. The flexibility… read more here.
Keywords: stochastic bottom; load profiles; electric load; residential electric ... See more keywords
Multi-objective optimization of CCHP system with hybrid chiller under new electric load following operation strategy
Sign Up to like & getrecommendations! Published in 2020 at "Energy"
DOI: 10.1016/j.energy.2020.119574
Abstract: Abstract The performance of combined cooling, heating and power (CCHP) system is greatly affected by its operating strategy and design. In this paper, a new electric load following (NELF) strategy was developed. It is based… read more here.
Keywords: cchp; load following; electric load; hybrid chiller ... See more keywords
Mixed kernel based extreme learning machine for electric load forecasting
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.05.068
Abstract: Abstract Short term electric load forecasting, as an important tool in the electricity market, plays a critical role in the management of electric systems. Proposing an accuracy and optimization method is not only a challenging… read more here.
Keywords: mixed elm; load forecasting; electric load; elm ... See more keywords
Spatiotemporal Sequence-to-Sequence Clustering for Electric Load Forecasting
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3235724
Abstract: Massive electrical load exhibits many patterns making it difficult for forecast algorithms to generalise well. Most learning algorithms produce a better forecast for dominant patterns in the case of weekday consumption and otherwise for less… read more here.
Keywords: time series; electric load; load forecasting; sequence ... See more keywords
Spectral Characterization of the Multi-Seasonal Component of the Italian Electric Load: A LASSO-FFT Approach
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2019.2922192
Abstract: In this letter, the modeling of the multi-seasonal component of the national electric load is investigated. Differently from additive models that consider just the sum of daily, weekly, and yearly periodic components, in order to… read more here.
Keywords: multi seasonal; lasso fft; seasonal component; electric load ... See more keywords
Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2019.2933413
Abstract: Electric load forecasting, especially short-term load forecasting (STLF), is becoming more and more important for power system operation. We propose to use multiple kernel learning (MKL) for residential electric load forecasting which provides more flexibility… read more here.
Keywords: load forecasting; electric load; load; multiple kernel ... See more keywords
Electric Load Profile of 5G Base Station in Distribution Systems Based on Data Flow Analysis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2022.3150074
Abstract: This paper proposes an electric load demand model of the 5th generation (5G) base station (BS) in a distribution system based on data flow analysis. First, the electric load model of a 5G BS is… read more here.
Keywords: data flow; electric load; analysis; model ... See more keywords
Single and Multi-Sequence Deep Learning Models for Short and Medium Term Electric Load Forecasting
Sign Up to like & getrecommendations! Published in 2019 at "Energies"
DOI: 10.3390/en12010149
Abstract: Time series analysis using long short term memory (LSTM) deep learning is a very attractive strategy to achieve accurate electric load forecasting. Although it outperforms most machine learning approaches, the LSTM forecasting model still reveals… read more here.
Keywords: time; multi sequence; electric load; load ... See more keywords
Adaptive Modularized Recurrent Neural Networks for Electric Load Forecasting
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Database Management"
DOI: 10.4018/jdm.323436
Abstract: In order to provide more efficient and reliable power services than the traditional grid, it is necessary for the smart grid to accurately predict the electric load. Recently, recurrent neural networks (RNNs) have attracted increasing… read more here.
Keywords: neural networks; modularized recurrent; electric load; recurrent neural ... See more keywords