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
2003.01475
Cited By

Pattern Similarity-based Machine Learning Methods for Mid-term Load
Forecasting: A Comparative Study

Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study

Applied Soft Computing (ASC), 2020

3 March 2020

ArXiv (abs)PDF HTML

Papers citing "Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study"

5 / 5 papers shown

SPINEX: Similarity-based Predictions and Explainable Neighbors
Exploration for Regression and Classification Tasks in Machine Learning

SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine LearningApplied Soft Computing (Appl. Soft Comput.), 2023

M. K. albashiti

120

5

0

01 Jun 2023

STD: A Seasonal-Trend-Dispersion Decomposition of Time Series

STD: A Seasonal-Trend-Dispersion Decomposition of Time SeriesIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022

147

66

0

21 Apr 2022

Ensembles of Randomized NNs for Pattern-based Time Series Forecasting

Ensembles of Randomized NNs for Pattern-based Time Series ForecastingInternational Conference on Neural Information Processing (ICONIP), 2021

191

1

0

08 Jul 2021

N-BEATS neural network for mid-term electricity load forecasting

N-BEATS neural network for mid-term electricity load forecasting

Boris N. Oreshkin

Ekaterina Turkina

184

100

0

24 Sep 2020

A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for
Mid-Term Electric Load Forecasting

A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting

207

46

0

29 Mar 2020

Page 1 of 1