7 datasets

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

Low-voltage cable selection is often treated as an ampacity problem, although a final cable size is the result of several independent constraints. A cable may satisfy current-carrying capacity and still fail protective-device coordination, voltage drop, short-circuit thermal withstand, automatic disconnection under the minimum fault current, or conductor-specific requirements. This report presents

ZivaHub2026 · dataset

<p dir="ltr">Policy Context: The electricity system in Great Britain is being reshaped by renewable deployment, electrification, digitalisation and Clean Power 2030. Connection delays and regional congestion pose risks to Net Zero delivery, economic growth and energy security. Ofgem’s ED3 guidance now explicitly includes hosting capacity within DSO network visibility, forecasting and data-sharing

HKU DataHub + figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">This study presents an optimal scheduling for improving the resilience of reconfigurable electrical distribution networks (EDN) using resilient microgrids against high impact, low probability (HILP) events. EDN are modeled considering physical constraints such as optimal reconfigurable AC power flow and high penetration of innovative distributed energy. On the other hand, resilient mi

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr"><code>Supplementary material for “LLM-SEA: Announcement-Conditioned Probabilistic Forecasting of Aggregated EV Fast-Charging Demand.” The file provides the input protocol, data-construction summary, target-conditioned announcement schema, selected numerical and adapter settings, and extended evaluation tables reported in the manuscript.</code></p>

figshare2026 · Astronomical catalogue

<p dir="ltr">Load frequency control of multi-area multi-source interconnected power system using new controllers</p>

figshare2026 · Astronomical catalogue

<p dir="ltr">Reproducibility materials for the manuscript "Incentive-Aware Deep-Learning-Based Residential Load Forecasting and Dynamic Demand Response Strategy Optimization With Large-Scale User Data" (Manuscript ID 6597722), submitted to the International Journal of Energy Research. This record provides the publicly releasable components supporting the study, including aggregate, event-level, an

figshare2026 · Astronomical catalogue

<p dir="ltr">This is an Appendix for Reliability-oriented Multi-timescale Energy Management of Antarctic Integrated Energy System Based on Multi-Criterion Distance Clustering Algorithm and Spatiotemporal Hybrid Energy Storage System. The data mentioned in the text are all included in this document.</p>