[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 …
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 …
A Reliable Evaluation Metric for Electrical Load Forecasts in V2G Scheduling Considering Statistical Features of EV Charging
An accurate electrical load forecast is essential for the effective implementation of vehicle-to-
grid (V2G) technology to achieve optimal electric vehicle (EV) charging decisions …
grid (V2G) technology to achieve optimal electric vehicle (EV) charging decisions …
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability
Optimizing smart grid operations relies on critical decision-making informed by uncertainty
quantification, making probabilistic forecasting a vital tool. Designing such forecasting …
quantification, making probabilistic forecasting a vital tool. Designing such forecasting …
Decision-Focused Retraining of Forecast Models for Optimization Problems in Smart Energy Systems
In order to enable the energy transition, a higher share of renewable energy sources is
required in the electricity grid. However, the volatile nature of these renewable sources can …
required in the electricity grid. However, the volatile nature of these renewable sources can …
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 …
[引用][C] Challenges in Deep Learning Based Forecasting of Time Series with Calendar-driven Periodicities
BM Heidrich - 2024