Electricity consumption prediction based on LSTM with attention mechanism

Z Lin, L Cheng, G Huang - IEEJ Transactions on Electrical and …, 2020 - Wiley Online Library
Power data analysis in power system, such as electricity consumption prediction, has always
been the basis for the power department to adjust electricity price, substation regulation …

An electricity load forecasting model based on multilayer dilated LSTM network and attention mechanism

Y Wang, W Jiang, C Wang, Q Song, T Zhang… - Frontiers in Energy …, 2023 - frontiersin.org
From national development to daily life, electric energy is integral to people's lives. Although
the development of electricity should be expected, expansion without restriction will only …

LSTM based short-term electricity consumption forecast with daily load profile sequences

N Kim, M Kim, JK Choi - 2018 IEEE 7th Global Conference on …, 2018 - ieeexplore.ieee.org
For energy-related services and researches, not only the energy load data in the past but
also the future are essential. In this paper, a short-term electricity consumption prediction …

Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting

S Wang, X Wang, S Wang, D Wang - … Journal of Electrical Power & Energy …, 2019 - Elsevier
Short-term load forecasting (STLF) plays an important role in the planning and operation of
power systems. However, with the wide use of distributed generations (DGs) and smart …

[HTML][HTML] An improved LSTM-Seq2Seq-based forecasting method for electricity load

Y Mu, M Wang, X Zheng, H Gao - Frontiers in Energy Research, 2023 - frontiersin.org
Power load forecasting has gained considerable research interest in recent years. The
power load is vulnerable to randomness and uncertainty during power grid operations …

Mid-term electricity load prediction using CNN and Bi-LSTM

MJ Gul, GM Urfa, A Paul, J Moon, S Rho… - The Journal of …, 2021 - Springer
Electricity is one of the critical role players to build an economy. Electricity consumption and
generation can affect the overall policy of the country. Such importance opens an area for …

LSTM enhanced by dual-attention-based encoder-decoder for daily peak load forecasting

K Zhu, Y Li, W Mao, F Li, J Yan - Electric Power Systems Research, 2022 - Elsevier
Daily peak load forecasting is a challenging problem in the filed of electric power load
forecasting. Since the nonlinear and dynamic of influence factors and their sequential …

Improving the Bi-LSTM model with XGBoost and attention mechanism: A combined approach for short-term power load prediction

Y Dai, Q Zhou, M Leng, X Yang, Y Wang - Applied Soft Computing, 2022 - Elsevier
Short term power load forecasting plays an important role in the management and
development of power systems with a focus on the reduction in power wastes and economic …

Building deep neural network model for short term electricity consumption forecasting

W Chandramitasari, B Kurniawan… - … on Advanced Intelligent …, 2018 - ieeexplore.ieee.org
Electricity consumption forecasting has a main role in the energy supply management
system of a power supply company. A power supply company needs to keep the balancing …

Research on short-term load prediction based on Seq2seq model

G Gong, X An, NK Mahato, S Sun, S Chen, Y Wen - Energies, 2019 - mdpi.com
Electricity load prediction is the primary basis on which power-related departments to make
logical and effective generation plans and scientific scheduling plans for the most effective …