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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 ↗699 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
Short-term electricity load interval estimation algorithm based on OS-ELM feature enhancement for SVR ↗
Short-term power load forecasting is crucial for power system dispatch and market transactions. However, the dynamic, nonlinear, and uncertain nature of loads poses challenges for accurate interval estimation. This paper proposes a short-term load interval estimation algorithm based on online sequence extreme learning machine (OS-ELM) feature enhancement and support vector regression (SVR). Rather than a simple model stacking approach, it constructs a dynamically collaborative two-stage prediction architecture: OS-ELM serves as a real-time feature generator, adaptively capturing concept drift…
- OpenAlex · Published · First archived
Exponential strain energy density-based dynamic failure criterion for jacket offshore wind turbines under extreme seismic loading ↗
Jacket offshore wind turbines (OWTs) are increasingly deployed in seismically active regions. However, existing failure criteria for OWTs under seismic loading rely on empirical displacement or stress thresholds that lack theoretical justification. To address this, the present study proposes a novel dynamic failure criterion based on exponential strain energy density (ESED) theory to capture the system-level collapse limit state. A three-dimensional elastoplastic finite-element model of a 10 MW jacket OWT is established in ABAQUS using bilinear kinematic hardening and validated through modal a…
- OpenAlex · Published · First archived
Over 20% Efficiency in As–Cast Organic Solar Cells Enabled by Flory–Huggins Parameter Engineering ↗
ABSTRACT The realization of high–efficiency as–cast organic solar cells (OSCs) represents a key step toward simplified processing and scalable fabrication for commercialization. However, achieving high–performance as–cast devices remains challenging because it demands delicate balance between donor–acceptor self–aggregation and miscibility. Herein, we fabricate as–cast OSCs through Flory–Huggins parameter (χ) engineering that precisely regulates donor–acceptor miscibility during solution casting. The chloroform–carbon disulfide (CF:CS 2 ) mixed solvent, with tailored solubility and evaporation…
- OpenAlex · Published · First archived
Dipolar Coupling Errors in Nuclear Spin Qubits ↗
ABSTRACT Nuclear spins have been studied since the beginning of quantum information science since they form the prototypical qubit with long coherence times and high‐fidelity operation. To perform practical fault‐tolerant quantum computations, however, not only do we require precision manufacturing techniques to produce millions of qubits, but these techniques need to consistently yield low‐error qubits. A deep understanding and control of the interactions between the qubits and their environment are needed as we scale so that devices can be engineered to avoid high error rates. In this work,…
- OpenAlex · Published · First archived
Energy consumption prediction of range-extended electric vehicles using dependency-guided physics-regularised neural networks ↗
The reliable prediction of energy consumption for range-extended electric vehicles under unseen driving scenarios remains challenging due to variations in driving conditions and vehicle operating characteristics. This paper proposes a two-stage framework integrating a difference-gated long short-term memory (dLSTM) model with a dependency-guided physics-regularised neural network (DG-PRNN) model. The dLSTM captures short-horizon temporal variations in vehicle operating signals, while DG-PRNN introduces dependency-guided sparse connectivity and physics regularisation to improve prediction robus…
- OpenAlex · Published · First archived
Real-time recognition model of 3D workpiece for transmission tower based on uniseg3d and vision-inertia fusion ↗
To tackle the challenges existing in point cloud segmentation for transmission tower components-specifically, weak small-target perception, blurred boundaries, poor cross-scene adaptability, and insufficient real-time performance-this study develops a real-time recognition model by integrating LiDAR-IMU with UniSeg3D. The core contribution lies in formulating a systematic solution architecture. First, to address the issues of small targets and boundary ambiguity, a multi-scale boundary-aware module is designed. By jointly optimizing classification and boundary losses, it substantially strength…
- OpenAlex · Published · First archived
Precursor‐Level Molecular Coupling Enables High‐Fill‐Factor Wide‐Bandgap Perovskite Solar Cells and 29.63% All‐Perovskite Tandems ↗
ABSTRACT Wide‐bandgap (WBG) perovskites with a ∼1.78 eV bandgap are essential for monolithic all‐perovskite tandem cells, yet their efficiency and stability are limited by complex precursor chemistry, uncontrolled crystallization, defect formation, and photoinduced halide segregation. Here, we report 4‐(3‐Carbamimidoylguanidino)benzoic acid hydrochloride (CGBA) as a precursor‐level regulator for Cs/formamidinium (CsFA)‐based Br‐rich WBG perovskites. Through dynamic associations with lead–halide species and organic cations, CGBA modifies the local precursor environment and alters the stage‐depe…
- OpenAlex · Published · First archived
Interpretable surrogate-assisted scheduling of solar thermochemical hydrogen production in hydrogen refueling-integrated energy systems ↗
Solar thermochemical hydrogen production converts intermittent solar energy into storable clean fuel, but dynamic control of the process remains a challenge. This study proposes an interpretable surrogate-assisted scheduling framework for meeting users’ diverse energy needs in a hydrogen-centered integrated energy system with CeO 2 -based solar thermochemical hydrogen production and multi-energy supply. An improved ensemble extreme learning machine is developed to predict the energy-saving rate, CO 2 emissions, and operating cost, and bootstrap-derived uncertainty estimation is incorporated in…
- OpenAlex · Published · First archived
Evidence, limitations and implications for renewable energy planning of daily global solar irradiation in tropical climate zones of Cameroon, predicted by machine learning ↗
Accurate solar irradiance prediction is a crucial step for the efficient planning and deployment of solar energy systems, particularly in tropical regions like Cameroon where solar resources remain largely untapped. Despite growing global interest in solar energy prediction using machine learning techniques, this remains a significant challenge. Similar studies exist in Cameroon, but they remain few compared to those in Asia, Europe, or North Africa. In contrast, our study stands out due to its complementary geographic coverage, the inclusion of solar vortex mass (SVM), and the in-depth analys…
- OpenAlex · Published · First archived
AVA‐MAPbI 3 Cap‐and‐Root Islands on Mesoporous TiO 2 Toward Neutral‐Color Semi‐Transparent Perovskite Solar Cells in Agrivoltaics ↗
Semi‐transparent perovskite solar cells offer a route to agrivoltaics, combining electricity generation with controlled light transmission for crop cultivation. However, conventional perovskite films preferentially absorb blue photons, producing redshifted transmitted spectra that can affect plant photophysiology. This work presents quasi‐neutral‐color semi‐transparent perovskite films based on AVA‐MAPbI 3 islands rooted in mesoporous TiO 2 (mp‐TiO 2 ). This architecture localizes absorption within the islands while ensuring spectrally balanced, visually neutral transmitted light and efficient…
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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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