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 ↗666 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
Advances in machine learning applications for battery thermal management systems: modeling methods, optimization strategies, and future trends ↗
With the rapid development of renewable energy and energy storage technologies, battery systems are evolving toward high energy density and high integration. Thermal runaway has gradually become a key factor limiting system safety and reliability. The design of traditional battery thermal management systems has mainly relied on experimental testing and numerical simulation. However, high computational cost and long development cycles are often encountered in coupled analysis under multiple operating conditions and in the optimization of complex structures. In recent years, machine learning has…
- OpenAlex · Published · First archived
Privacy-Preserving Federated Learning for Building Energy Forecasting: A Differential Privacy Analysis of Aggregation Strategies ↗
Forecasting hourly electricity consumption across distributed building portfolios is critical for grid management and demand response, yet the sensitivity of granular energy data constrains centralised aggregation. Federated learning (FL) trains models in situ, but the cost of layering formal differential privacy (DP) guarantees atop FL remains underexplored for building-energy workloads. We train a CNN-LSTM forecasting model under three FL aggregation strategies (FedAvg, FedProx, FedBN) across four cumulative privacy budgets (ε ∈ {0.5, 1, 3, 6.5}, δ = 10−5) over a federation of 50 commercial…
- OpenAlex · Published · First archived
DTAC-assisted carbon-modified anatase TiO2 Photoanodes for DSSC-powered photovoltaic–electrochemical hydrogen production ↗
Defect engineering in semiconductor oxides has emerged as a potent strategy for advancing next-generation solar-to‑hydrogen (STH) conversion technology. Herein, we report a novel dodecyl trimethyl ammonium chloride (DTAC)-assisted hydrothermal synthesis of carbon-modified anatase TiO₂ (C-TiO₂) nanoparticles of ∼15.93 nm, wherein DTAC functions concurrently as a carbon source and a morphology-directing agent. The optimized C-TiO₂ (10DTA) demonstrates significant defect development characterized by interstitial carbon incorporation and oxygen vacancy formation, producing a continuum of sub-band-…
- OpenAlex · Published · First archived
Use of helical finned heat sinks to enhance energy efficiency of photovoltaic panels and analysis with deep learning ↗
Increasing operating temperature is one of the main factors limiting the electrical performance of photovoltaic (PV) modules; therefore, effective passive thermal management is important for improving their energy utilization and operational performance. In this study, aluminum helical-finned heat sinks with an 8 mm pitch were integrated into the rear surface of 50 W monocrystalline PV modules in PCM-free and RT42 PCM-filled configurations. Three different numbers of heat sinks (33, 22, and 11) were experimentally investigated under outdoor climatic conditions in Elazığ, Türkiye. Panel tempera…
- OpenAlex · Published · First archived
A Physics-Informed Digital Twin Framework for Explainable Operational Health Monitoring of Utility-Scale Photovoltaic Systems Using SCADA Measurements ↗
The increasing deployment of utility-scale photovoltaic (PV) systems necessitates advanced monitoring frameworks capable of providing interpretable operational assessments beyond conventional SCADA visualization and threshold-based supervision. This study proposes a physics-informed analytical digital twin framework for monitoring the operational behavior of a grid-connected PV system using synchronized three-phase electrical measurements. The framework integrates SCADA data acquisition and preprocessing, physics-informed electrical feature engineering, Composite Health Index (CHI) constructio…
- OpenAlex · Published · First archived
Stability-constrained adaptive recurrent network with fractional memory for lithium-ion battery state-of-health prediction ↗
To overcome the limitations of standard gated recurrent units (GRUs) in capturing long-term degradation dependencies for lithium-ion battery state-of-health (SOH) prediction, as well as the fact that existing fractional recurrent models often rely on empirically selected orders and lack explicit stability constraints, this paper proposes an adaptive Grünwald-Letnikov (GL) fractional GRU model with convergence constraints. The proposed model embeds the GL fractional difference into the GRU hidden-state update process, thereby introducing nonlocal historical memory to enhance the representation…
- OpenAlex · Published · First archived
FPGA-Based Automatic Digital Pole–Zero Cancellation for Nuclear Pulse Spectroscopy Systems: Real-Time Decay Constant Estimation and Adaptive Tuning ↗
In modern radiation sensor systems, the analog output of charge-sensitive preamplifiers (CSA) often suffers from long exponential tails, which severely limit the performance of the sensor system at high counting rates. At high counting rates in nuclear spectroscopy, overlapping exponential pulse tails from charge-sensitive preamplifiers lead to baseline drift and degraded energy resolution. Effective pole–zero cancellation (PZC) is necessary to mitigate these effects; however, conventional PZC tuning is typically manual and repetitive. We present an FPGA-based automatic digital PZC algorithm f…
- OpenAlex · Published · First archived
Deep peak shaving performance of thermal power plant coupled with molten-salt heat storage system with combined strategy based on bi-level optimization ↗
The large-scale deployment of renewable energy has intensified deep peak shaving pressure on power gird, forcing thermal power plants (TPP) into prolonged deep peak shaving frequently. TPP's thermodynamic characteristics and economic performance under deep peak shaving is pretty critical. However, TPP's current coupling schemes primarily focus on thermal energy storage technology or localized retrofits, lacking a systematic comparison and optimization of multiple coupling pathways. Besides, thermodynamic and economic analysis fails to consider power generation revenue, deep peak shaving compen…
- OpenAlex · Published · First archived
Photovoltaic tilt optimization using physics-informed machine learning methods ↗
Photovoltaic arrays are typically installed at a tilt angle, measured from the horizontal plane, close to the site latitude; however, this approach can underperform relative to the physics- or data-driven optimum tilt, resulting in suboptimal energy yields. In this work, we introduce a physics-informed machine learning framework to determine the annual fixed tilt that maximizes energy yield for Antalya, Turkiye. To this end, we process daily irradiance records to derive the diffuse fraction and seasonal harmonics. We use the Liu-Jordan isotropic model to generate a physics-based reference curv…
- OpenAlex · Published · First archived
Ancient Nuclear Genome Duplication Events in Vertebrates Facilitated the Functional Diversification of Ohnologous Cytochrome c : Insights from Buergeria Frogs ↗
In vertebrates, a nuclear gene encoding mitochondrial cytochrome c (CYC) was duplicated and diverged into one with ubiquitous expression (somatic-type) and the other with testis-preferred expression (testis-type). In this study, synteny based phylogenetic analyses suggest that cyc ohnologs originated through whole genome duplication (WGD) events in the common ancestor of vertebrates and have been conserved for approximately 450-540 million years. Molecular evolutionary analyses revealed pervasive purifying selection and an approximate Phe/Tyr dichotomy at position 46 between somatic- and testi…
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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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