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Greatest papers with code

Fast and Accurate Time Series Classification with WEASEL

26 Jan 2017patrickzib/SFA

On the popular UCR benchmark of 85 TS datasets, WEASEL is more accurate than the best current non-ensemble algorithms at orders-of-magnitude lower classification and training times, and it is almost as accurate as ensemble classifiers, whose computational complexity makes them inapplicable even for mid-size datasets.

GENERAL CLASSIFICATION LOAD FORECASTING TIME SERIES TIME SERIES CLASSIFICATION

Deep Learning for Time Series Forecasting: The Electric Load Case

22 Jul 2019albertogaspar/dts

Management and efficient operations in critical infrastructure such as Smart Grids take huge advantage of accurate power load forecasting which, due to its nonlinear nature, remains a challenging task.

LOAD FORECASTING TIME SERIES FORECASTING

Deep Adaptive Input Normalization for Time Series Forecasting

21 Feb 2019passalis/dain

Deep Learning (DL) models can be used to tackle time series analysis tasks with great success.

LOAD FORECASTING TIME SERIES TIME SERIES ANALYSIS TIME SERIES FORECASTING

Short-term Load Forecasting with Deep Residual Networks

30 May 2018yalickj/load-forecasting-resnet

We present in this paper a model for forecasting short-term power loads based on deep residual networks.

LOAD FORECASTING

Probabilistic Load Forecasting Based on Adaptive Online Learning

30 Nov 2020MachineLearningBCAM/Load-forecasting-IEEE-TPWRS-2020

Conventional load forecasting techniques obtain single-value load forecasts by exploiting consumption patterns of past load demand.

LOAD FORECASTING

Short-Term Load Forecasting using Bi-directional Sequential Models and Feature Engineering for Small Datasets

28 Nov 2020manastahir/Short-Term-Load-Forecasting

Electricity load forecasting enables the grid operators to optimally implement the smart grid's most essential features such as demand response and energy efficiency.

FEATURE ENGINEERING LOAD FORECASTING

Data-Driven Copy-Paste Imputation for Energy Time Series

5 Jan 2021KIT-IAI/CopyPasteImputation

The CPI method copies data blocks with similar properties and pastes them into gaps of the time series while preserving the total energy of each gap.

FAULT DETECTION IMPUTATION LOAD FORECASTING TIME SERIES

Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model

30 Mar 2020DataLabUPO/CVOA_academic

A novel bioinspired metaheuristic is proposed in this work, simulating how the coronavirus spreads and infects healthy people.

LOAD FORECASTING TIME SERIES TIME SERIES FORECASTING

LFRT, A MATLAB Toolbox for Load Forecast & Assesment of Additional Capacity for an Electrical Power System

Conference 2016 hazooree/lfrt

A developing country like Pakistan with sizable pressure on their limited financial resources can ill afford either of these two situations about energy forecast: 1) Too optimistic 2) Too conservative.

LOAD FORECASTING