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Earlier sources: Energy
Energy research and engineering concern how power is produced, stored, delivered, and consumed. Follow solar and nuclear power, fusion, geothermal systems, batteries, electricity grids, and changing power demand.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗753 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- OpenAlex · Published · First archived
A Nonlinear Three-Mode Model of Solar Activity Based on Coupled Oscillators and Nonlinear Energy Transfer ↗
Solar activity exhibits a dominant decadal timescale embedded in nonlinear multiscale dynamics. We present a minimal autonomous three-mode hybrid model to investigate whether such a timescale can arise from internal nonlinear energy exchange rather than external periodic forcing or direct inheritance of a prescribed modal period. The model couples a slow internal reservoir, a tachocline-associated transfer mode, and a nonlinear magnetic subsystem described by Duffing and Van der Pol–Duffing dynamics. Magnetic-energy release is implemented through a threshold-triggered reset, while a D-index-ba…
- OpenAlex · Published · First archived
A Lightweight Multi-Sensor Feature-Level Fusion Framework for Noise-Robust Fault Diagnosis of High-Precision Milling Machines ↗
The operational reliability of milling machines is a critical factor affecting manufacturing quality and productivity in modern industrial systems. Although multi-sensor fusion can overcome the limitations of single-sensor monitoring, many existing methods rely on computationally intensive deep learning models, which restrict their applicability in resource-constrained industrial environments. To address this issue, this paper presents a multi-sensor feature-level fusion framework for fault diagnosis in high-precision milling machines. The proposed framework integrates vibration signals from t…
- OpenAlex · Published · First archived
Geopolitical energy shocks and consumer protection under fiscal constraints ↗
How can energy-importing governments protect fuel-dependent households during geopolitical crises without suppressing conservation incentives or making unaffordable fiscal promises? We develop conditional insurance based on pre-crisis reference fuel consumption, with transfers independent of current purchases. Under stated assumptions, fixed payments preserve the marginal pump-price signal; a strictly concave allocation problem determines how to distribute scarce assistance. A dated liquidity rule prioritizes binding infrastructure guarantees and committed low-carbon investment before discreti…
- OpenAlex · Published · First archived
Ultraviolet-induced degradation in TOPCon solar cells: Reversible (r-UVID) and irreversible (ir-UVID) degradation, mechanisms and mitigation strategies ↗
Currently, tunnel oxide passivated contact (TOPCon) solar cells are rapidly gaining market share due to their high efficiency and compatibility with existing manufacturing lines. However, ultraviolet-induced degradation (UVID) has emerged as a critical reliability concern that can cause significant power loss in these cells, especially in modules relying on hydrogen-rich front-side passivation stacks. In this paper, we refer to specific literature, briefly describe the development history of UVID, introduce the associated phenomena in crystalline silicon solar cells, and describe its character…
- OpenAlex · Published · First archived
ReViT-RF: A hybrid ResNet-50–Vision Transformer with a Radiomic Feature Fusion framework for lung tumor classification and TNM-based stage prediction using CT images ↗
Lung cancer is one of the leading causes of cancer-related mortality worldwide, emphasizing the need for accurate, automated, and clinically interpretable diagnostic systems. Although existing deep learning (DL) models have achieved promising performance in classifying lung nodules as benign or malignant, most approaches are limited to binary classification and provide insufficient support for detailed tumor characterization and TNM staging. Furthermore, conventional convolutional neural networks (CNNs) are effective in extracting local morphological features but often fail to capture long-ran…
- OpenAlex · Published · First archived
YOLOv9s-PILD: A Lightweight Photovoltaic Module Defect Detection Method Based on Grid-Structure Priors ↗
Detecting fine cracks and hot spots in photovoltaic modules is challenging due to their weak and small-scale features, which are easily obscured by regular background textures such as grid lines and cell boundaries. Consequently, general-purpose detection networks struggle to distinguish these defects, and their large model sizes hinder deployment on edge devices. To address these issues, this paper proposes YOLOv9s-PILD, a lightweight detection model built upon the YOLOv9s baseline. The proposed model incorporates three key innovations: a LiteNeck architecture to reduce redundancy in feature…
- OpenAlex · Published · First archived
Structure engineering of TiO2-based photocatalysts: From charge regulation to energy and environmental applications ↗
TiO 2 photocatalysis is shaped by the coupled effects of crystal structure, surface chemistry and reaction environment. This review examines five routes for engineering TiO 2 : phase, facet and morphology control; defect regulation; elemental doping; cocatalyst and atomic-site design; and semiconductor heterojunction construction, with particular attention to the evidence needed to support S-scheme charge transfer. Each route is discussed in relation to carrier behavior, surface reactions and the conditions that limit performance. Applications are considered across hydrogen production, carbon…
- OpenAlex · Published · First archived
Graph-Enhanced Structural Reasoning for Feature-Fusion-Based Character Line-Art Segmentation ↗
Conventional pixel-wise segmentation does not fully exploit long-range relations among semantic components in character line drawings, where sparse textures, broken strokes, and overlapping contours make local evidence unreliable. We propose a graph-enhanced structural reasoning framework built on adaptive multi-level feature fusion. Hierarchical visual features are aligned and spatially reweighted to preserve fine strokes, part-scale structure, and global semantics. Soft component assignments induce a structural graph whose nodes represent semantic prototypes and whose edges combine learned f…
- OpenAlex · Published · First archived
Using cross-regional grid interconnection to relieve growing energy storage demand in renewable energy integration: A case study from China ↗
With the rapid growth of wind and solar generation, power systems face increasing balancing and energy storage needs. Cross-regional interconnection provides spatial flexibility through tie-line power exchange, yet the implications of tie-line scheduling flexibility for capacity planning remain insufficiently understood. This paper uses the Gansu–Shandong–Zhejiang interconnected system in China to quantify how tie-line scheduling timescales affect storage requirements for bulk energy shifting and system balancing. Within a common capacity planning and dispatch optimization framework, three sty…
- OpenAlex · Published · First archived
VBT-Fusion: Branch-Selective Language Conditioning for Infrared–Visible Image Fusion ↗
Infrared–visible image fusion must reconcile different sensor roles: infrared imagery provides illumination-robust thermal evidence, whereas visible imagery supplies richer but illumination-sensitive structures and textures. Existing vision–language fusion methods show that textual context can guide reconstruction, but they rarely examine where language should enter a modality-specific network. We propose VBT-Fusion, a branch-selective language-conditioning framework for infrared–visible fusion. A precomputed language sequence interacts only with the visible branch, while the infrared represen…
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How to assess evidence about Energy
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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