[HTML][HTML] The role of energy storage systems for a secure energy supply: A comprehensive review of system needs and technology solutions

G De Carne, SM Maroufi, H Beiranvand… - Electric Power Systems …, 2024 - Elsevier
The way to produce and use energy is undergoing deep changes with the fast-pace
introduction of renewables and the electrification of transportation and heating systems. As a …

Loss-customised probabilistic energy time series forecasts using automated hyperparameter optimisation

K Phipps, S Meisenbacher, B Heidrich… - Proceedings of the 14th …, 2023 - dl.acm.org
To mitigate climate change, renewable energy sources are increasingly integrated into the
energy system. Due to their volatility and uncertainty, smart grid applications are required to …

Spatial-temporal embodied carbon models for the embodied carbon accounting of computer systems

X Zhang, Y Yang, D Wang - Proceedings of the 15th ACM International …, 2024 - dl.acm.org
Embodied carbon is the total amount of carbon released from the processes associated with
a product from cradle to gate. In many industry sectors, embodied carbon dominates the …

A real-world district community platform as a cyber-physical-social infrastructure systems in the energy domain

J Galenzowski, S Waczowicz, S Meisenbacher… - Proceedings of the 10th …, 2023 - dl.acm.org
The transition of urban energy supply into a regenerative but also digitalized smart
ecosystem leads to an unprecedented necessity to rethink the energy supply infrastructure …

On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching

S Meisenbacher, SA Selzer, M Dado… - arxiv preprint arxiv …, 2024 - arxiv.org
Renewable energies and their operation are becoming increasingly vital for the stability of
electrical power grids since conventional power plants are progressively being displaced …

[PDF][PDF] AutoWP: Automated wind power forecasts with limited computing resources using an ensemble of diverse wind power curves

S Meisenbacher, SA Selzer, M Dado… - PROCEEDINGS 34 …, 2024 - library.oapen.org
Forecasting the locally distributed Wind Power (WP) generation is crucial for future energy
systems, demanding scalable WP forecasting models to keep pace with the increasing …

Challenges in deep learning based forecasting of time series with calendar-driven periodicities

B Heidrich - 2024 - publikationen.bibliothek.kit.edu
Throughout history, forecasting has been crucial across various civilizations, influencing
imagination and critical decisions. In contemporary times, it has become indispensable …

Forecasting and Optimization as a Service for Energy Management Applications with the Energy Service Generics Framework

D Wölfle, H Schmeck - ACM SIGENERGY Energy Informatics Review, 2025 - dl.acm.org
Energy management, in sense of computing optimized operation schedules for devices, will
likely play a vital role in future carbon neutral energy systems, as it allows unlocking energy …

Embodied carbon accounting through spatial-temporal embodied carbon models

X Zhang, Y Yang, D Wang - arxiv preprint arxiv:2312.06364, 2023 - arxiv.org
Embodied carbon is the total carbon released from the processes associated with a product
from cradle to gate. In many industry sectors, embodied carbon dominates the overall …

Probabilistic Day-Ahead Battery Scheduling based on Mixed Random Variables for Enhanced Grid Operation

J Pinter, F Zahn, M Beichter, R Mikut… - arxiv preprint arxiv …, 2024 - arxiv.org
The increasing penetration of renewable energy sources introduces significant challenges
to power grid stability, primarily due to their inherent variability. A new opportunity for grid …