Energy supply-demand interaction model integrating uncertainty forecasting and peer-to-peer energy trading
K Zhou, Y Chu, R Hu - Energy, 2023 - Elsevier
With the penetration of large amounts of renewable energy resources into energy system,
the interaction between energy supply and demand has become more complex and diverse …
the interaction between energy supply and demand has become more complex and diverse …
An instance based multi-source transfer learning strategy for building's short-term electricity loads prediction under sparse data scenarios
The use of transfer learning for building's electricity loads prediction has shown great
potential when in practice the available electricity consumption data in local energy …
potential when in practice the available electricity consumption data in local energy …
A framework for electricity load forecasting based on attention mechanism time series depthwise separable convolutional neural network
H Xu, F Hu, X Liang, G Zhao, M Abugunmi - Energy, 2024 - Elsevier
Electricity load exhibits daily and weekly cyclical patterns as well as random characteristics.
At present, prevailing deep learning models cannot learn electricity load cyclical and …
At present, prevailing deep learning models cannot learn electricity load cyclical and …
Multi-type load forecasting model based on random forest and density clustering with the influence of noise and load patterns
S Deng, X Dong, L Tao, J Wang, Y He, D Yue - Energy, 2024 - Elsevier
Load forecasting (LF) models are essential for various smart grid applications, and their
accuracy heavily relies on the quality of input load data and load types. Previous LF studies …
accuracy heavily relies on the quality of input load data and load types. Previous LF studies …
Review of the opportunities and challenges to accelerate mass‐scale application of smart grids with large‐language models
Smart grids represent a paradigm shift in the electricity industry, moving from traditional one‐
way systems to more dynamic, interconnected networks. These grids are characterised by …
way systems to more dynamic, interconnected networks. These grids are characterised by …
Spatial weather, socio-economic and political risks in probabilistic load forecasting
M Zimmermann, F Ziel - arXiv preprint arXiv:2408.00507, 2024 - arxiv.org
Accurate forecasts of the impact of spatial weather and pan-European socio-economic and
political risks on hourly electricity demand for the mid-term horizon are crucial for strategic …
political risks on hourly electricity demand for the mid-term horizon are crucial for strategic …
An IHPO-WNN-Based Federated Learning System for Area-Wide Power Load Forecasting Considering Data Security Protection
B Shi, X Zhou, P Li, W Ma, N Pan - Energies, 2023 - mdpi.com
With the rapid growth of power demand and the advancement of new power system
intelligence, smart energy measurement system data quality and security are also facing the …
intelligence, smart energy measurement system data quality and security are also facing the …
Medium‐term load forecasting of power system based on BiLSTM and parallel feature extraction network
F Li, C Sun, W Han, T Yan, G Li… - IET Generation …, 2024 - Wiley Online Library
With the diversification of users' energy demands, accurate load forecasting is an important
prerequisite for optimal scheduling and economic operation of the system, but a single‐load …
prerequisite for optimal scheduling and economic operation of the system, but a single‐load …
Day-ahead load forecast based on Conv2D-GRU_SC aimed to adapt to steep changes in load
Y Chen, C Lin, Y Zhang, J Liu, D Yu - Energy, 2024 - Elsevier
With the significant increase in the proportion of volatile new energy in the power system in
recent years, the difficulty of system scheduling has increased. Accurate load forecasting is …
recent years, the difficulty of system scheduling has increased. Accurate load forecasting is …
[HTML][HTML] Development of an Integrated Energy Management System for Off-Grid Solar Applications with Advanced Solar Forecasting, Time-of-Use Tariffs, and Direct …
Effectively managing and maximizing the integration of renewable energy sources is
essential for a sustainable power grid due to the stochastic and intermittent nature of …
essential for a sustainable power grid due to the stochastic and intermittent nature of …