arXiv:2601.03679v2 Announce Type: replace-cross
Abstract: Decarbonization of isolated or off-grid energy systems through phase-in of large shares of intermittent solar or wind generation requires co-...
By Simon Halvdansson, Lucas Ferreira Bernardino, Brage Rugstad Knudsen
arXiv:2609.23590v1 Announce Type: new
Abstract: Battery energy storage system (BESS) dispatch must preserve operational feasibility while declining price spreads reduce the margin available to pay fo...
By Kuanlin Chen, Chen-Wei Kuo, Cheng-En Ou
The paper compares rule‑based and reinforcement‑learning (RL) pricing mechanisms for peer‑to‑peer electricity trading in residential photovoltaic communities. Rule‑based benchmarks—bill‑sharing, mid‑market rate, and supply‑demand‑ratio pricing—outperform the best RL policy in a PV‑only setup, while RL policies achieve higher community savings when battery storage is added. Across both configurations, SDR‑shaped pricing outperforms multiplier‑based parameterization, but benefit distribution remains heterogeneous among households.
By Pablo Benalcazar, Maciej Kalka, Wilian Guam\'an, Jacek Kami\'nski
arXiv:2607. 23482v1 Announce Type: new Abstract: Accurate State-of-Health estimation is essential for safe battery operation and cost-effective maintenance.
By Huy Hoang Le, Kim-Anh Nguyen
CityLearn v3 is a configurable simulation and evaluation framework designed for realistic control studies of renewable energy communities (RECs). It models dynamic participation, equipment availability, service deadlines, and data quality, allowing for flexible-load deadlines, demand-response requests, local energy sharing, and failure scenarios within a single environment. The framework records controller inputs, distinguishes requested actions from applied ones, and provides reference controllers, performance indicators, and trajectory exports for comprehensive comparisons across communities.
By Tiago Fonseca, Luis Lino Ferreira, Armando Sousa, Ava Mohammadi, Zoltan Nagy
arXiv:2608. 16238v1 Announce Type: new Abstract: The increasing share of renewable energy in power systems creates a need for fast-response and flexible resources to maintain system stability.
By Chunyang Zhao, Stoyan Trenchev, Shi You, Chresten Tr{\ae}holt