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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 ↗657 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
Hierarchical Region-Guided Multi-Task Network for Energy Label Quality Inspection ↗
Automated energy efficiency label quality inspection differs from traditional single-defect detection, as it requires joint analysis of multiple related targets, including product regions, energy efficiency labels, surface defects, energy grades, and label placement relationships. These targets exhibit complex spatial dependencies, requiring both fine-grained local perception and hierarchical spatial reasoning. To address this challenge, we propose a Hierarchical Region-Guided Multi-Task Network (HRG-MTN) for energy efficiency label quality inspection. HRG-MTN first extracts shared multi-scale…
- OpenAlex · Published · First archived
Multiphysics simulation guided optoelectronic optimization of semi-transparent perovskite solar cells for BIPV ↗
Semi-transparent perovskite solar cells (ST-PSCs) exhibit significant potential for building-integrated photovoltaics (BIPV). However, navigating the fundamental trade-off among power conversion efficiency (PCE), average visible transmittance (AVT), and visual aesthetics remains a major bottleneck for commercialization. To bridge the existing research gaps concerning the synergistic mechanisms of multi-physical parameters on device performance and the underexploration of optical modulation strategies, comprehensive multiphysics simulations were conducted on p-i-n ST-PSCs via the Solar Design p…
- OpenAlex · Published · First archived
Parallel Local–Global Feature Extraction and Cross-Attention Gated Fusion for Network Intrusion Detection ↗
With the rapid advancement of network technology and the Internet of Things (IoT), massive, high-dimensional traffic data pose significant challenges to Network Intrusion Detection Systems (NIDS). Existing deep learning methods face two major limitations: (1) Insufficient feature extraction: single models struggle to concurrently capture local and global features, while serial hybrid architectures are prone to feature information loss. (2) Superficial feature fusion: existing strategies overlook deep interactions between features and lack adaptive filtering mechanisms to eliminate redundant in…
- OpenAlex · Published · First archived
Performance analysis of a multi-input converter for renewable energy integration in rural electrification ↗
The growing need for high-efficiency power management in hybrid renewable energy systems has highlighted the limitations of conventional multi-port converters, which often involve complex circuitry, many components, significant power losses, and thermal inefficiencies. To overcome these challenges, this paper presents a novel bridgeless modified multi-input mono-output (MIMO) converter for Rural Electrification Applications, specifically designed for systems integrating solar photovoltaic (PV) and fuel cell energy sources. The proposed converter features a simplified architecture with a reduce…
- OpenAlex · Published · First archived
Dual-Driven Electricity Package Recommendation via Cognitive-Noise Filtration and Consensus Evolution ↗
The growing variety of customized tariffs in deregulated electricity retail markets increases customers’ decision burden under information asymmetry. Existing recommendation methods generally characterize either objective load patterns or subjective preferences, but rarely account for load-risk heterogeneity and uncertain evaluations within a unified framework. This study proposes a dual-driven electricity package recommendation framework that combines cognitive-noise filtration with dynamic consensus evolution. A risk-driven two-stage affinity propagation (RD-TAP) algorithm first separates cu…
- OpenAlex · Published · First archived
Wave Energy Converters: A State-of-the-Art Review of Wave-Activated Body Technologies ↗
Wave energy is a renewable resource with enormous, untapped potential. Devices known as WABs (Wave-Activated Bodies) constitute the most diverse category of WECs (Wave Energy Converters). This review systematically analyzes the state of the art in WAB technology development, evaluating their Technology Readiness Level (TRL), energy performance, mass-to-power ratio, economic indicators (LCOE and CAPEX), and potential applications, with specific attention to the Mediterranean basin. To focus on technologies with realistic near-term deployment prospects, the analysis is deliberately restricted to…
- OpenAlex · Published · First archived
Performance evaluation and energy-saving mechanism analysis of a regenerative scheme based on heat capacity flow rate matching for coal-fired power plants under typical load conditions ↗
To reduce the structural exergy loss caused by mismatch in heat capacity flow rates between extraction steam and water in the regenerative process, an “exit splitting and parallel heating” method is proposed and applied to a 1000 MW unit. The thermodynamic mechanism underlying the variations in energy-saving performance associated with the superheat utilization of extraction steam under typical load conditions is also investigated. In this configuration, a portion of water is diverted from the outlet of each corresponding regenerative heater (RH) and heated by the extraction steam, thereby red…
- OpenAlex · Published · First archived
Energy-based characterization of sparse sensor interactions ↗
Abstract Large-dimensional empirical data in science and engineering frequently have a low-rank structure and can be represented as a combination of just a few eigenmodes. Because of this structure, we can use just a few spatially localized sensor measurements to reconstruct the full state of a complex system. The quality of this reconstruction, especially in the presence of sensor noise, depends significantly on the spatial configuration of the sensors. Multiple algorithms based on gappy interpolation and QR factorization have been proposed to optimize sensor placement. Here, instead of an al…
- OpenAlex · Published · First archived
Dynamic Skill Demand Prediction for New Energy Manufacturing Using a Knowledge Graph-Enhanced Spatiotemporal Graph Neural Network ↗
Accurate and forward-looking skill demand prediction is critical for workforce planning, curriculum development, and talent cultivation in the rapidly evolving new energy manufacturing sector. Existing approaches often rely on static occupational categories, retrospective skill taxonomies, or purely temporal models and therefore struggle to capture heterogeneous semantic dependencies, temporal evolution, and event-driven demand shocks. This study proposes an integrated framework that combines a point-in-time New Energy Manufacturing Skill Knowledge Graph (NEM-SKG) with a knowledge-graph-enhanc…
- OpenAlex · Published · First archived
Metallurgical and Mechanical Property Investigation of ETP Cu Similar Hybrid Friction Welds for Nuclear Fusion Applications ↗
The evolution of microstructure and mechanical properties in electrolytic tough-pitch (ETP) copper subjected to hybrid friction welding (HFW) was investigated. The effect of introducing a programmable brake on the flywheel’s rotation while maintaining constant friction and forging pressures was explored. The welded joints were examined through a series of investigations, including optical and scanning electron microscopy with electron backscatter diffraction, tensile and microhardness testing, followed by fractography. The optimised weld achieved the highest ultimate tensile strength (≈274 MPa…
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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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