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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 ↗697 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
Spectrally selective structures for glass cover of silicon photovoltaic module to enhance its energy yield based on neural network surrogate-assisted genetic algorithm ↗
Strategically transmitting harvestable photons and reflecting non-useful photons are essential for photovoltaic (PV) efficiency improvement and temperature reduction. However, it remains a considerable challenge to develop spectrally selective thin-film structures that can maximize PV lifetime energy yield (EY) while maintaining structural simplicity and adequate manufacturability. Herein, a neural network surrogate-assisted genetic algorithm (NNSGA) framework is proposed to facilitate the design of spectrally selective structures. By incorporating spectral utilization weight (SUW) of PV modul…
- OpenAlex · Published · First archived
Optimisation of charging infrastructure for battery electric multiple units: A coupled Simulation–Optimisation framework applied to three UK railway routes ↗
Battery electric trains are increasingly proposed as a cost-effective alternative to full railway electrification on routes where capital constraints prohibit continuous overhead line installation. This paper presents a coupled simulation–optimisation framework that combines a physics-based MATLAB train dynamics model, incorporating Davis resistance, aerodynamic drag, gradient forces, auxiliary heating/cooling loads, and regenerative braking, with a GAMS mixed-integer programme that minimises 20-year whole-life infrastructure cost subject to SoC feasibility constraints. The framework is applie…
- OpenAlex · Published · First archived
Investment Timing and Electricity Decarbonization in Romania Under Stylized Emissions Constraints ↗
This study compares long term generation/investment patterns in a simplified representation of Romania’s electricity sector between 2025 and 2050. A deterministic OSeMOSYS/MUIO model is used to examine a reference emissions ceiling, a terminal zero emissions target and an accelerated emissions pathway. The scenarios are conditional model experiments that share exogenous demand and technology assumptions. The model includes Romania’s main electricity generation technologies: coal, natural gas, hydropower, nuclear power, wind, and solar photovoltaics, and minimizes the total discounted system co…
- OpenAlex · Published · First archived
Bi-Level Optimal Configuration of User-Side Shared Energy Storage Considering Load Shifting and Fair Cost Allocation ↗
With high renewable penetration, independent user-side storage suffers from low utilization and high investment. Shared energy storage (SES) addresses this by aggregating multi-user demand. This paper proposes a bi-level optimal configuration method for user-side SES considering the conflicting interests between the investor and users. The upper level maximizes the investor’s annual revenue by optimizing SES capacity and power, while the lower level minimizes users’ comprehensive energy cost via charge/discharge scheduling and load shifting. The bi-level model is transformed into a single-leve…
- OpenAlex · Published · First archived
Rigorous Absolute Binding Free Energy Calculations Elucidate Mutation–Driven Resistance Mechanisms of Non–Covalent Bruton’s Tyrosine Kinase (BTK) Inhibitors ↗
Abstract Drug resistance driven by acquired mutations in Bruton’s tyrosine kinase (BTK) threatens the long–term clinical efficacy of non–covalent BTK inhibitors (NCIs). While clinically observed variants such as A428D, C481S, and the double mutant C481S/T474I display distinct resistance profiles, their differential impact on inhibitor recognition remains poorly characterized at the atomic level. In this study, we employed rigorous alchemical absolute binding free energy calculations to quantify the thermodynamic consequences of these mutations across five chemically diverse NCIs. Benchmarking…
- OpenAlex · Published · First archived
Stochastic Convex Optimization for Day-Ahead Shared Battery Storage Scheduling in Solar Energy Communities ↗
Energy communities represent a transformative paradigm for decentralized renewable energy integration, enabling collective investment in photovoltaic (PV) systems and battery energy storage systems (BESS) to achieve economic and environmental benefits. However, the optimal operation of these communities faces significant challenges due to inherent uncertainties in solar generation, load consumption, and electricity prices. This paper presents a stochastic optimization framework for day-ahead scheduling of shared battery energy storage in solar-powered energy communities under multiple uncertai…
- OpenAlex · Published · First archived
Unified Embedding and Composable Fusion for Arbitrary Multimodal Person Re-Identification ↗
Driven by the advancement of intelligent security, person re-identification has evolved from single-modality imagery to complex multimodal tasks involving infrared, text, sketches, and paintings. However, most existing methods are restricted to fixed modality pairs and struggle to accommodate the flexible fusion requirements of variable inputs, making the integration of arbitrary modality combinations a critical challenge. To address this, we propose the Unified Embedding Representation Fusion Network (UERF-Net), a framework based on unified embedding representation fusion. This method first e…
- OpenAlex · Published · First archived
Physically Constrained Temporal Fusion Transformer with LLM-Assisted Hyperparameter Optimization for Multi-Scenario Energy Time Series Forecasting ↗
Accurate forecasting of battery state of health (SOH), wind power, and photovoltaic (PV) power is challenged by non-stationarity, multiscale dependencies, and physically implausible outputs. This study proposes a physically constrained Temporal Fusion Transformer (PC-TFT) that coordinates enhanced temporal representation, physical regularization, and LLM-assisted Bayesian optimization. Mogrifier-LSTM and a feature-enhanced attention module capture transient fluctuations and long-range dependencies, while spectral normalization stabilizes training under physical constraints. Scenario-specific d…
- OpenAlex · Published · First archived
Energy–Carbon Synergy in Data Center-Based Energy Hub: Optimal Trading Decision in Coupled Electricity–Heat Markets Under Ladder-Type Carbon Trading ↗
Data centers are becoming flexible prosumers in integrated electricity–heat systems (IEHSs) because of their large energy demand, workload flexibility, and waste-heat recovery potential. Coordinating these resources can improve energy utilization and carbon performance while supporting sustainable operation without curtailing computing services. This paper develops a trading decision-making approach for a data center-based energy hub (DCEH) participating in coupled electricity, heat, and carbon markets while accounting for independently operated power and district heating networks. The DCEH st…
- OpenAlex · Published · First archived
Sustainable and Synergistic Energy Management for Large Model Computing ↗
The rapid growth of foundation models, most prominently large language models (LLMs), is turning the electricity consumption of computing infrastructure into a first-order constraint on the artificial intelligence (AI) industry. This review synthesizes recent literature on three levers for reconciling large-model computing with power-system limits: green energy supply, green computing, and computing-energy synergy (CES), i.e., the coordinated operation of computing infrastructure and power systems. Beyond earlier descriptive accounts, the review makes four contributions: (1) comparative assess…
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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