[HTML][HTML] The role of energy storage systems for a secure energy supply: A comprehensive review of system needs and technology solutions
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 …
introduction of renewables and the electrification of transportation and heating systems. As a …
Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation
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 …
energy system. Due to their volatility and uncertainty, smart grid applications are required to …
A Real-World District Community Platform as a Cyber-Physical-Social Infrastructure Systems in the Energy Domain
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 …
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 …
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 …
systems, demanding scalable WP forecasting models to keep pace with the increasing …
Forecasting and Optimization as a Service for Energy Management Applications with the Energy Service Generics Framework
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 …
likely play a vital role in future carbon neutral energy systems, as it allows unlocking energy …
Probabilistic Day-Ahead Battery Scheduling based on Mixed Random Variables for Enhanced Grid Operation
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 …
to power grid stability, primarily due to their inherent variability. A new opportunity for grid …
Automation Level Taxonomy for Time Series Forecasting Services: Guideline for Real-World Smart Grid Applications
Achieving net-zero carbon emissions necessitates the major transformation of electrical
grids into smart grids. In this context, urban districts play a crucial role in the flexible …
grids into smart grids. In this context, urban districts play a crucial role in the flexible …
Embodied Carbon Accounting through Spatial-Temporal Embodied Carbon Models
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 …
from cradle to gate. In many industry sectors, embodied carbon dominates the overall …
Spatial-Temporal Embodied Carbon Models for the Embodied Carbon Accounting of Computer Systems
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 product from cradle to gate. In many industry sectors, embodied carbon dominates the …