[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 …

AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability

S Meisenbacher, K Phipps, O Taubert, M Weiel… - arXiv preprint arXiv …, 2024 - arxiv.org
Optimizing smart grid operations relies on critical decision-making informed by uncertainty
quantification, making probabilistic forecasting a vital tool. Designing such forecasting …

Enhancing Probabilistic Peak Load Forecasting with Fuzzy Information Granulation and Deep Learning

W Sun, Z Tian, C Wu - 2024 3rd International Conference on …, 2024 - ieeexplore.ieee.org
Probabilistic peak load forecasting has garnered significant interest due to its ability to
provide detailed statistical insights, surpassing the utility of traditional point predictions …

[引用][C] Challenges in Deep Learning Based Forecasting of Time Series with Calendar-driven Periodicities

[引用][C] Quantifying and Interpreting Uncertainty in Time Series Forecasting

K Phipps - 2023