[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 …
[HTML][HTML] Model predictive control of distributed energy resources in residential buildings considering forecast uncertainties
Forecast uncertainties pose a considerable challenge to the success of model predictive
control (MPC) in buildings. Numerous possibilities for considering forecast uncertainties in …
control (MPC) in buildings. Numerous possibilities for considering forecast uncertainties in …
Transformer training strategies for forecasting multiple load time series
In the smart grid of the future, accurate load forecasts on the level of individual clients can
help to balance supply and demand locally and to prevent grid outages. While the number of …
help to balance supply and demand locally and to prevent grid outages. While the number of …
The impact of forecast characteristics on the forecast value for the dispatchable feeder
Transforming the energy system to decentralised, renewable energy sources requires
measures to balance their fluctuating nature and stabilise the energy system. One such …
measures to balance their fluctuating nature and stabilise the energy system. One such …
Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder
To successfully increase the share of renewable energy sources in the power system and for
counteract their fluctuating nature in view of system stability, forecasts are required that suit …
counteract their fluctuating nature in view of system stability, forecasts are required that suit …
Towards a Real-World Dispatchable Feeder
S Beichter, M Beichter, D Werling… - 2023 8th IEEE …, 2023 - ieeexplore.ieee.org
With the integration of renewable energy sources, electric vehicles, and batteries at the low-
voltage distribution grid level, residential buildings are increasingly evolving from …
voltage distribution grid level, residential buildings are increasingly evolving from …
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 …
to power grid stability, primarily due to their inherent variability. A new opportunity for grid …
Intrinsic Explainable Artificial Intelligence Using Trainable Spatial Weights on Numerical Weather Predictions
Addressing the volatility of renewable energies like solar and wind is crucial for the energy
system's stability and optimal utilization of renewable energies. Accurate energy forecasts …
system's stability and optimal utilization of renewable energies. Accurate energy forecasts …
[引用][C] Challenges in Deep Learning Based Forecasting of Time Series with Calendar-driven Periodicities
BM Heidrich - 2024