Deep Learning for Time Series Forecasting: The Electric Load Case

22 July 2019

Papers citing "Deep Learning for Time Series Forecasting: The Electric Load Case"

24 / 24 papers shown

Title
DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting Xiaobei Zou Luolin Xiong Kexuan Zhang Cesare Alippi Yang Tang AI4TS 44 0 0 02 Apr 2025
Temporal Encoding Strategies for Energy Time Series Prediction Aayam Bansal Keertan Balaji Zeus Lalani AI4TS 41 0 0 19 Mar 2025
Breaking the Context Bottleneck on Long Time Series Forecasting Chao Ma Yikai Hou Xiang Li Yinggang Sun Haining Yu Zhou Fang Jiaxing Qu AI4TS 69 0 0 21 Dec 2024
On the Regularization of Learnable Embeddings for Time Series Forecasting L. Butera G. Felice Andrea Cini C. Alippi AI4TS 29 0 0 18 Oct 2024
Towards Generalisable Time Series Understanding Across Domains Özgün Turgut Philip Muller M. Menten Daniel Rueckert AI4TS 41 1 0 09 Oct 2024
Long Input Sequence Network for Long Time Series Forecasting Chao Ma Yikai Hou Xiang Li Yinggang Sun Haining Yu AI4TS 22 0 0 18 Jul 2024
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach Georgios Tsoumplekas C. Athanasiadis Dimitrios I. Doukas Antonios C. Chrysopoulos P. Mitkas AI4TS 27 3 0 09 Jun 2024
Re-pseudonymization Strategies for Smart Meter Data Are Not Robust to Deep Learning Profiling Attacks Ana-Maria Cretu Miruna Rusu Yves-Alexandre de Montjoye AAML 18 1 0 05 Apr 2024
LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable Machine Learning Models Pedro Seber R. D. Braatz 23 3 0 27 Feb 2024
TBDLNet: a network for classifying multidrug-resistant and drug-sensitive tuberculosis Ziquan Zhu Jing Tao Shuihua Wang Xin Zhang Yudong Zhang 11 2 0 27 Oct 2023
Learning an Inventory Control Policy with General Inventory Arrival Dynamics Sohrab Andaz Carson Eisenach Dhruv Madeka Kari Torkkola Randy Jia Dean Phillips Foster Sham Kakade 15 2 0 26 Oct 2023
A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series Forecasting Christopher Salazar A. Banerjee AI4TS 13 2 0 28 Jul 2023
An evaluation of time series forecasting models on water consumption data: A case study of Greece Ioannis Kontopoulos Antonios Makris Konstantinos Tserpes T. Varvarigou AI4TS 13 0 0 30 Mar 2023
Uncertainty-aware deep learning for digital twin-driven monitoring: Application to fault detection in power lines L. Das B. Gjorgiev G. Sansavini AI4CE 22 2 0 20 Mar 2023
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers Sotiris Pelekis Ioannis-Konstantinos Seisopoulos Evangelos Spiliotis Theodosios Pountridis Evangelos Karakolis S. Mouzakitis D. Askounis 21 15 0 23 Feb 2023
Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach Xin-Yue Zhou Jingru Feng Jian Wang Jianhong Pan 25 7 0 30 Jun 2022
DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting Cristian Challu Kin G. Olivares Gus Welter A. Dubrawski AI4TS 13 1 0 07 Jun 2021
Review of Low Voltage Load Forecasting: Methods, Applications, and Recommendations S. Haben Siddharth Arora Georgios Giasemidis Marcus Voss Danica Vukadinović Greetham 21 104 0 30 May 2021
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation F. Torabi Garrett A. Warnell Yufei Xu 8 27 0 31 Mar 2021
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey Praveen Kumar Viet Quoc Pham Madhusanka Liyanage N. Deepa Mounik Vvss Shivani Reddy Reddy Maddikunta Neelu Khare Thippa Reddy Gadekallu W. Hwang 32 55 0 20 Jan 2021
Explaining Deep Learning Models for Structured Data using Layer-Wise Relevance Propagation hsan Ullah André Ríos Vaibhav Gala Susan Mckeever FAtt 4 10 0 26 Nov 2020
MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention Carson Eisenach Yagna Patel Dhruv Madeka AI4TS 6 36 0 30 Sep 2020
Adversarial Examples in Deep Learning for Multivariate Time Series Regression Gautam Raj Mode K. A. Hoque AAML AI4TS 8 57 0 24 Sep 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,740 0 26 Sep 2016