Cover Image

Time-series surrogates from energy consumers generated by machine learning approaches for long-term forecasting scenarios

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gerhards, Ben, Popkov, Nikita, König, Annekatrin, Arpogaus, Marcel, Schäfermeier, Bastian, Riedl, Leonie, Vogt, Stephan, Hehlert, Philip
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A federated large language model for long-term time series forecasting
by: Abdel-Sater, Raed, et al.
Published: (2024)

Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forecasting
by: Rice, Julian, et al.
Published: (2020)

Die Rolle von Unternehmen im IFRS-Standardsetzungsprozess
by: Jendreck, Annekatrin
Published: (2022)

Midwifery Care Studies: A Reflexive Methodology for a Practice‐Based Science
by: Annekatrin Skeide
Published: (2026)

Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
by: Arpogaus, Marcel, et al.
Published: (2025)

Augmented Invertible Koopman Autoencoder for long-term time series forecasting
by: Frion, Anthony, et al.
Published: (2025)

An explainable machine learning approach for energy forecasting at the household level
by: Béraud, Pauline, et al.
Published: (2024)

Equity forecast: Predicting long term stock price movement using machine learning
by: Milosevic, Nikola
Published: (2016)

Investigating long term rainfall trends (1901‐2021) and forecast over the mountainous state of India using machine learning approach
by: Pankaj Kumar, et al.
Published: (2026)

Fast and interpretable electricity consumption scenario generation for individual consumers
by: Soenen, J., et al.
Published: (2024)

A generative machine learning surrogate model of plasma turbulence
by: Clavier, B., et al.
Published: (2024)

KANMixer: a minimal KAN-centered mixer for long-term time series forecasting
by: Jiang, Lingyu, et al.
Published: (2025)

Validation of machine learning based scenario generators
by: Junike, Gero, et al.
Published: (2023)

Validation of machine learning based scenario generators
by: Gero Junike, et al.
Published: (2026)

Patientenpolitiken
by: Gerhards, Helene
Published: (2022)

Patientenpolitiken
by: Gerhards, Helene
Published: (2022)

Kirche im Wandel
by: Gerhards, Albert
Published: (2024)

Multilane Asymmetric Exclusion Process with stationary Bernoulli measure
by: Popkov, Vladislav
Published: (2026)

A web‐based app for sunn pest species recognition (Hemiptera: Scutelleridae: Eurygaster ) using machine learning
by: Alexander Popkov, et al.
Published: (2025)

Robustness of hydrometeorological extremes in surrogated seasonal forecasts
by: Katharina Klehmet, et al.
Published: (2024)

KFS: KAN based adaptive Frequency Selection learning architecture for long term time series forecasting
by: Wu, Changning, et al.
Published: (2025)

A machine learning approach to volatility forecasting
by: Christensen, Kim, et al.
Published: (2026)

Bridging an energy system model with an ensemble deep-learning approach for electricity price forecasting
by: Amor, Souhir Ben, et al.
Published: (2024)

A two-step machine learning approach to statistical post-processing of weather forecasts for power generation
by: Baran, Ágnes, et al.
Published: (2022)

Local surrogates for quantum machine learning
by: Nair, Sreeraj Rajindran, et al.
Published: (2025)

Exact Steady State of a One-end Driven XXZ Spin Chain with Boundary Field
by: Popkov, V., et al.
Published: (2026)

OlssonF/ALEX-forecast-code: Developing scenario-based, near-term iterative forecasts to inform water management: code
by: Olsson, Freya, et al.
Published: (2026)

Electric power load in Brazil: view on the long-term forecasting models
by: Larissa Resende
Published: (2018)

Probabilistic intraday electricity price forecasting using generative machine learning
by: Chen, Jieyu, et al.
Published: (2025)

Chapter Short-term forecasts on time series for tourism in Lombardy
by: Diceglie, Elena, et al.
Published: (2023)

Framing Refugee
by: Drewski, Daniel, et al.
Published: (2024)

Spatiospectral localization within the ball -- studies on the influence of the spectral shape
by: Gerhards, Christian, et al.
Published: (2023)

DeepTSF: Codeless machine learning operations for time series forecasting
by: Pelekis, Sotiris, et al.
Published: (2023)

Understanding with toy surrogate models in machine learning
by: Páez, Andrés
Published: (2024)

Disappearing repositories -- taking an infrastructure perspective on the long-term availability of research data
by: Strecker, Dorothea, et al.
Published: (2023)

Liouvillian Exceptional Points in Quantum Brickwork Circuits
by: Popkov, Vladislav, et al.
Published: (2025)

Exact NESS of XXZ circuits boundary driven with arbitrary resets or fields
by: Popkov, Vladislav, et al.
Published: (2025)

Labor market forecasting in unprecedented times: A machine learning approach
by: Johanna M. Orozco‐Castañeda, et al.
Published: (2024)

Data efficiency and long term prediction capabilities for neural operator surrogate models of core and edge plasma codes
by: Carey, N., et al.
Published: (2024)

On long-term fatigue damage estimation for a floating offshore wind turbine using a surrogate model
by: Liu, Ding Peng, et al.
Published: (2023)