SOTAVerified

Time Series Prediction

The goal of Time Series Prediction is to infer the future values of a time series from the past.

Source: Orthogonal Echo State Networks and stochastic evaluations of likelihoods

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–60 of 477 papers

TitleStatusHype
SCKF-LSTM Based Trajectory Tracking for Electricity-Gas Integrated Energy System—0
Time Series Feature Redundancy Paradox: An Empirical Study Based on Mortgage Default Prediction—0
Individual Bus Trip Chain Prediction and Pattern Identification Considering SimilaritiesCode0
LLMs for Time Series: an Application for Single Stocks and Statistical Arbitrage—0
PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power SystemsCode1
Ridge Regression for Manifold-valued Time-Series with Application to Meteorological Forecast—0
LLM-ABBA: Understanding time series via symbolic approximation—0
Quantile deep learning models for multi-step ahead time series predictionCode0
Recursive Gaussian Process State Space ModelCode1
Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time SeriesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CMU-DEMAverage mean absolute error9.06—Unverified
#ModelMetricClaimedVerifiedStatus
1LSTMRMSE0—Unverified