[HTML][HTML] Short-mid term electricity consumption prediction using non-intrusive attention-augmented deep learning model
Estimates of electricity consumption (EC) can provide effective guidance for energy
allocation and energy-saving measures. For improving the accuracy of short-mid term EC …
allocation and energy-saving measures. For improving the accuracy of short-mid term EC …
Accurate deep model for electricity consumption forecasting using multi-channel and multi-scale feature fusion CNN–LSTM
X Shao, CS Kim, P Sontakke - Energies, 2020 - mdpi.com
Electricity consumption forecasting is a vital task for smart grid building regarding the supply
and demand of electric power. Many pieces of research focused on the factors of weather …
and demand of electric power. Many pieces of research focused on the factors of weather …
A k-nearest neighbor attentive deep autoregressive network for electricity consumption prediction
X Qiu, Y Ru, X Tan, J Chen, B Chen, Y Guo - International Journal of …, 2024 - Springer
Electricity is vital in daily life and crucial for sustainable economic development. Accurate
forecasting of energy consumption ensures efficient electricity system operation and …
forecasting of energy consumption ensures efficient electricity system operation and …
Multi-step short-term power consumption forecasting with a hybrid deep learning strategy
Electric power consumption short-term forecasting for individual households is an important
and challenging topic in the fields of AI-enhanced energy saving, smart grid planning …
and challenging topic in the fields of AI-enhanced energy saving, smart grid planning …
Multi-region electricity demand prediction with ensemble deep neural networks
Electricity consumption prediction plays a vital role in intelligent energy management
systems, and it is essential for electricity power supply companies to have accurate short …
systems, and it is essential for electricity power supply companies to have accurate short …
A deep learning neural network for the residential energy consumption prediction
J Huang, C Pang, W Yang, X Zeng… - IEEJ Transactions on …, 2022 - Wiley Online Library
In order to provide guidance for demand‐side management and improve energy efficiency,
the accuracy of residential electricity demand forecasting plays a significant role. Data …
the accuracy of residential electricity demand forecasting plays a significant role. Data …
Deep learning framework to forecast electricity demand
J Bedi, D Toshniwal - Applied energy, 2019 - Elsevier
The increasing world population and availability of energy hungry smart devices are major
reasons for alarmingly high electricity consumption in the current times. So far, various …
reasons for alarmingly high electricity consumption in the current times. So far, various …
Spatio-temporal prediction of total energy consumption in multiple regions using explainable deep neural network
S Peng, L Fan, L Zhang, H Su, Y He, Q He, X Wang… - Energy, 2024 - Elsevier
Energy consumption forecasting is essential for energy system integration and
management. However, existing studies mainly focus on temporal features of energy …
management. However, existing studies mainly focus on temporal features of energy …
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 …
system of a power supply company. A power supply company needs to keep the balancing …
Deep learning model performance and optimal model study for hourly fine power consumption prediction
Electricity consumption has been increasing steadily owing to technological developments
since the Industrial Revolution. Technologies that can predict power usage and …
since the Industrial Revolution. Technologies that can predict power usage and …