THE INTERNET IS THINKING
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 ↗759 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
Sports Activity Recognition Using Textile‐Based Sensor Fusion and Complex‐Valued Residual Convolutional Neural Networks ↗
Traditional human activity recognition systems in wearable technologies typically separate sensing modalities, using mechanical sensors for motion detection and biophysical sensors such as electrocardiography for health monitoring. This work challenges that division by demonstrating that electrocardiographic signals captured via textile electrodes inherently encode activity‐specific information, as motion‐induced signal deformations, traditionally dismissed as noise, carry discriminative patterns. A smart textile system was developed integrating textile‐based electrocardiographic electrodes an…
- OpenAlex · Published · First archived
Nuclear blebs are composed of variable chromatin states and display increased transcription initiation relative to elongation ↗
Nuclear blebs are herniations of the nucleus that occur in many human conditions including aging, heart disease, muscular dystrophy, and many cancers. Nuclear blebbing causes nuclear rupture and cellular dysfunction. However, understanding the formation, stability, and identification of nuclear blebs remains an ongoing challenge. Our previous studies reveal that nuclear blebs are best hallmarked by decreased DNA density. To determine if chromatin decompaction underlies decreased DNA density in nuclear blebs, we investigated the histone composition of nuclear blebs across multiple cell lines. T…
- OpenAlex · Published · First archived
An efficiency-oriented physics-informed transfer learning framework for transient simulation across diverse properties and conditions in liquid energy pipelines ↗
As pipeline-transported liquid energy has expanded to include hydrogen-based and bio-based fuels, achieving efficient and rapid simulations across diverse physical properties and conditions is essential for timely early warning of anomalies. However, conventional numerical computation is hindered by iterative parameter identification, precluding computational efficiency. Emerging physics-informed machine learning techniques necessitate excessive retraining whenever fluid properties or conditions change, which might take hours. Furthermore, they struggle to accurately capture the transient osci…
- OpenAlex · Published · First archived
From Linear Regression to Temporal Fusion Transformers: Benchmarking Electricity Price Forecasting Models in Markets with Different Renewable Energy Shares ↗
Rising renewable penetration increases wholesale price volatility and challenges traditional forecasting approaches. This paper benchmarks three methods—adaptive linear regression, Random Forest (RF), and the Temporal Fusion Transformer (TFT)—on hourly day-ahead prices in four European markets with contrasting generation mixes: Slovakia (nuclear-dominated), Spain (solar-rich), Denmark (wind-dominated), and Germany (mixed). Using Energy-Charts data for 2015–2025, all the models are evaluated under one day-ahead protocol on a common 12-month hold-out against naive 24-h persistence. With price-hi…
- OpenAlex · Published · First archived
APFNet: An Adaptive Perception Fusion Network for Multi-Scale Object Detection in Remote Sensing ↗
Accurate multi-scale object detection remains challenging in remote sensing (RS) imagery due to severe scale variation, limited pixel occupancy of small targets, and complex backgrounds. Existing multi-scale fusion methods propagate features along predefined cross-scale paths and apply receptive fields fixed once trained, so fusion weights and the spatial range of contextual evidence remain largely input-independent. The Adaptive Perception Fusion Network (APFNet) targets these two aspects through four operations: (1) Split-ELAN (SP-ELAN), a channel-compressed serial refinement backbone whose…
- OpenAlex · Published · First archived
Mode-Selective Tip-Enhanced Raman Spectroscopy Reveals Asymmetric Chemical and Carrier-Sensitive Raman Grading in Photovoltaic III–V Tandem Nanowire Junctions ↗
Abstract Performance of tandem junction nanowire (NW) solar cells relies on the electronic quality of the tunnel diodes which serve as the separating junctions between subcells. Yet, the relevant interfacial physics occurs below the optical diffraction limit. Here we use hyperspectral tip-enhanced Raman spectroscopy (TERS) to map, with nanoscale precision, axially defined heterojunctions in InP/InGaP tandem junction photovoltaic NWs. By resolving mode-specific phonon and phonon–plasmon responses, we show that the nominally abrupt p/p++ and p++/n++ junctions are compositionally graded. The TOM…
- OpenAlex · Published · First archived
A Multi‐Domain System‐Level Framework for Floating Photovoltaic Systems With Comparative Analysis of Thermal Configurations ↗
A multi‐domain modeling framework for the performance simulation of floating photovoltaic (FPV) systems is presented. As an initial stage of this framework, the present study implements and couples only the thermal and electrical subsystems, evaluating four interchangeable configurations of varying fidelity; the implementation of the mechanical and hydrodynamic subsystems is deferred to future work. The coupled models were validated against meteorological and module temperature data from the Open Energy Data Initiative Orlando, Florida FPV dataset. Results demonstrate that increasing structura…
- OpenAlex · Published · First archived
Correlating grid scale battery operation with prices, emissions, and renewables in California and Texas ↗
Utility-scale batteries enable energy consumption to shift from one time of day to another, potentially flattening net demand, furthering renewable energy integration, and increasing system flexibility and reliability. However, realizing these benefits depends on a regional grid's technology fleet, market structures, and operational practices. This study uses historical dispatch data from the California Independent System Operator (CAISO) and the Electric Reliability Council of Texas (ERCOT) to evaluate how battery storage operation has evolved and how charging and discharging correlates with…
- OpenAlex · Published · First archived
DPFusion: Detail-preserving dual-path infrared and visible image fusion in high-radiance thermal scenes ↗
Infrared and visible image fusion integrates thermal radiation responses with visible textures, providing complementary information for observing high-radiance thermal targets. Most existing deep fusion methods enhance single-modality features before cross-modal fusion; the enhancement supplements context but tends to weaken original edges and weak textures and causes modality bias under strong thermal responses. This paper therefore proposes DPFusion, a detail-preserving dual-path fusion network with a three-scale dual-stream encoder, a parallel residual fusion (PRF) module, and a shared deco…
- OpenAlex · Published · First archived
Thermoresponsive building envelope with optical modulation and latent heat storage: Energy savings and thermal comfort evaluation under diverse climatic conditions ↗
Thermal comfort is essential for occupant well-being, yet maintaining it consumes a substantial portion of building energy. To address this, this study proposes and fabricates an innovative thermoresponsive building envelope integrating a thermoresponsive hydrogel (TH) layer with a phase change material (PCM) layer. The TH enables optical modulation, adjusting solar absorption and reflection with temperature to reduce solar radiation during hot seasons while capturing solar heat during cold seasons. Simultaneously, the PCM provides latent heat storage, reducing daily temperature fluctuations a…
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
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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