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 ↗742 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
Astronomical Self-Calibration of Fisheye Cameras for Photovoltaic Sun-Tracking Applications ↗
Vision-based photovoltaic (PV) tracking requires a calibrated mapping from fisheye pixels to physical solar directions, yet deployed cameras may lack calibration targets or a surveyed pose. This study asks whether timestamped sky images can recover a camera mapping that is internally consistent with a solar ephemeris, while explicitly accounting for localisation coverage and parameter uncertainty. A staged pipeline combines photometric solar-candidate detection, ephemeris-guided re-localisation, temporal and model-consistency gates, three monotonic fisheye projections, and six calibration solv…
- OpenAlex · Published · First archived
P2Y receptor-mediated regulation of lipolysis, lipid droplet dynamics, and energy metabolism in podocytes ↗
Abstract Abnormal lipid metabolism that results in excessive lipid accumulation in the kidney is closely associated with the pathogenesis of glomerulopathies. Podocytes cover the external surface of glomerular capillaries and are known to be particularly sensitive to lipid overload. Lipids accumulate in lipid droplets, specialized organelles that store neutral lipids. Lipid droplets regulate the mobilization of free fatty acids (FFAs) through lipolysis, coordinated by complex machinery, including adipose triglyceride lipase and perilipins. Moreover, activation of the lipolytic cascade leads to…
- OpenAlex · Published · First archived
Capacity-Operation Co-Optimization of Building Thermal Inertia and Thermal Energy Storage for Integrated Energy Systems ↗
Under the energy transition, renewable intermittency poses a challenge to supply–demand matching. Buildings possess thermal inertia that can serve as virtual storage. This study proposed a capacity-operation co-optimization model for a heating-season-integrated energy system, integrating building thermal inertia with thermal energy storage (TES). The building envelope was modeled as a first-order resistor–capacitor (RC) thermal network, and TES capacity was treated as a decision variable within a mixed-integer quadratic programming (MIQP) framework. The objective minimized total costs, includi…
- OpenAlex · Published · First archived
Energy Valley Optimization-Based Adaptive Fuzzy Logic Control for Grid-Connected Photovoltaic Systems: Simulation and Experimental Validation ↗
This paper presents a novel energy valley optimization algorithm (EVOA) to achieve maximum power point tracking (MPPT) and dynamic regulation of grid-connected photovoltaic (PV) systems under varying irradiance conditions. The proposed approach optimizes four Adaptive Fuzzy Logic Controllers (AFLCs) to enhance tracking accuracy, transient response, and disturbance rejection. The proposed strategy is evaluated against AFLC based on genetic algorithm (GA), AFLC based on Arithmetic Optimization Algorithm (AOA), and Marine Predator Algorithm-based proportional-integral (MPA-PI) control using the M…
- OpenAlex · Published · First archived
A helical-flow geometric reinterpretation of classical electromagnetism with a phenomenological short-range nuclear extension ↗
This study develops a geometric helical-flow ansatz for interpreting classical electromagnetic fields and explores a separate phenomenological extension for short-range nuclear interactions. The model postulates a source-centered vector field whose integral curves contain radial and azimuthal components while the magnitude of the total local flow is constrained to the speed of light c. A dimensionless solid-angle variable Ω is used to introduce a geometric mass-capacity parameter mg = km/Ω and a charge mapping q = Kmq dmg/dτ = −KΩ(dΩ/dτ)/Ω2. We emphasize that these relations are postulates and…
- OpenAlex · Published · First archived
High-fidelity numerical modelling and sensitivity analysis of hail impact damage in photovoltaic modules ↗
As photovoltaic (PV) deployment continues to expand, modules are increasingly exposed to environmental hazards such as hailstorms, with direct implications for structural integrity and long-term performance. This study presents a high-fidelity finite-element framework for analysing hail impact on PV modules. A three-dimensional model is developed in ABAQUS, where both the hailstone and PV panel are treated as deformable bodies with nonlinear material behaviour and geometric nonlinearity. The hailstone is represented using a Smoothed Particle Hydrodynamics (SPH) formulation to capture large def…
- OpenAlex · Published · First archived
Comment on “A theoretical upper limit for offshore wind energy extraction” by Simão Ferreira et al. (2026) ↗
A theoretical limit for the energy extraction of offshore wind farms has been suggested by Simão Ferreira et al. (2026) based on a simple analytical model that was originally designed to provide an estimate of the turbine wake losses of an infinite wind farm. Simão Ferreira et al. (2026) validated the model with 72 offshore wind farms using an ad hoc and undocumented method to correct the model for application to finite wind farms. In this work, we discuss our concerns regarding the non-reproducibility of the finite wind farm correction and its sensitivity to the model results and validation.…
- OpenAlex · Published · First archived
Learnable Band-Selective Envelope-Spectrum Residual Fusion for Bearing Fault Diagnosis Under Matched Noise Conditions ↗
Strong noise can obscure the transient and modulation signatures used for bearing fault diagnosis, while envelope-based methods remain sensitive to the frequency band selected before demodulation. This study proposes a learnable band-selective envelope fusion WDCNN (LBEF-WDCNN). A raw-waveform branch extracts temporal features, whereas an auxiliary branch applies four differentiable Gaussian masks, reconstructs the corresponding spectrally selected waveforms, and encodes their Hilbert envelope spectra. Both branches are trained jointly and combined using a fixed, sample-independent residual co…
- OpenAlex · Published · First archived
Chip-based characterization of machinability in post-machined directed energy deposition Ti-6Al-4V ↗
Chips generated during machining contain rich information on the machining history. Chip-level analysis has nevertheless remained underutilized for evaluating the machinability of additively manufactured materials. In this study, chip morphology and microstructure were analyzed to evaluate the machinability of directed energy deposition (DED) Ti-6Al-4V fabricated under various deposition conditions. The results showed that the deposition parameter, laser power, had a significant impact on changes in the deposited microstructure, influencing chip formation behavior, cutting force, and machined…
- OpenAlex · Published · First archived
Novel encoder-only transformer-convolutional neural network hybrid model to estimate battery state-of-charge in dynamic load and temperature variation ↗
Precise state of charge (SoC) estimation is critical for optimizing lithium-ion battery performance in energy storage systems. This study proposes an innovative Lightweight Transformer using Encoder only with 1D CNN (LTEC) model to significantly improve estimation accuracy while maintaining low computational complexity. The model integrates a 1D CNN layer in place of the standard Feed-Forward Network (FFN) within the Transformer Encoder. By applying weight-shared kernels across localized time windows, the 1D CNN captures short-term dynamics and dampens high-frequency fluctuations in sensor inp…
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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