Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2110.14980
Cited By

Multivariate Empirical Mode Decomposition based Hybrid Model for
Day-ahead Peak Load Forecasting

Multivariate Empirical Mode Decomposition based Hybrid Model for Day-ahead Peak Load Forecasting

28 October 2021

Yukun Bao

ArXiv (abs)PDF HTML Github

Papers citing "Multivariate Empirical Mode Decomposition based Hybrid Model for Day-ahead Peak Load Forecasting"

2 / 2 papers shown

Learning Global and Local Features of Power Load Series Through
Transformer and 2D-CNN: An Image-based Multi-step Forecasting Approach
Incorporating Phase Space Reconstruction

Learning Global and Local Features of Power Load Series Through Transformer and 2D-CNN: An Image-based Multi-step Forecasting Approach Incorporating Phase Space Reconstruction

235

5

0

16 Jul 2024

Multi-Resolution, Multi-Horizon Distributed Solar PV Power Forecasting
with Forecast Combinations

Multi-Resolution, Multi-Horizon Distributed Solar PV Power Forecasting with Forecast CombinationsExpert systems with applications (ESWA), 2022

Saman K. Halgamuge

152

43

0

22 Jun 2022

Page 1 of 1