Total Energy
36 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Total Energy
MD17
Most implemented papers
Electronic-structure properties from atom-centered predictions of the electron density
The electron density of a molecule or material has recently received major attention as a target quantity of machine-learning models.
NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras
vb000/neuricam
•
•
Our idea is to design a dual-mode camera system where the first mode is low-power (1. 1 mW) but only outputs grey-scale, low resolution, and noisy video and the second mode consumes much higher power (100 mW) but outputs color and higher resolution images.
Design, modeling and control of a hybrid grid-connected photovoltaic-wind system for the region of Adrar, Algeria
The use of fossil energy for electricity production is an evident source of pollution, global warming and climate change.
Comparison of Forecasting Methods of House Electricity Consumption for Honda Smart Home
The electricity consumption of buildings composes a major part of the city's energy consumption.
Carbon-Aware EV Charging
This paper examines the problem of optimizing the charging pattern of electric vehicles (EV) by taking real-time electricity grid carbon intensity into consideration.
Materials Property Prediction with Uncertainty Quantification: A Benchmark Study
Uncertainty quantification (UQ) has increasing importance in building robust high-performance and generalizable materials property prediction models.
Total energy-shaping control for mechanical systems via Control-by-Interconnection
In this work, it is shown that total energy-shaping control of under-actuated mechanical systems has a control-by-interconnection interpretation.
Hamiltonian Neural Networks with Automatic Symmetry Detection
eva-dierkes/HNN_withSymmetries
•
•
Recently, Hamiltonian neural networks (HNN) have been introduced to incorporate prior physical knowledge when learning the dynamical equations of Hamiltonian systems.
Energy-Efficient Blockchain-enabled User-Centric Mobile Edge Computing
To achieve efficient and reliable resource utilization with user-centric services, we propose an energy efficient blockchain-enabled UC-MEC system where blockchain operations and resource optimization are jointly performed.
MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids
nicosquare/rl-energy-management
•
•
Integrating variable renewable energy into the grid has posed challenges to system operators in achieving optimal trade-offs among energy availability, cost affordability, and pollution controllability.
