116 skills found · Page 1 of 4
Akkudoktor-EOS / EOSThis repository features an Energy Optimization System (EOS) that optimizes energy distribution, usage for batteries, heat pumps& household devices. It includes predictive models for electricity prices (planned), load forecasting& dynamic optimization to maximize energy efficiency & minimize costs. Founder Dr. Andreas Schmitz (YouTube @akkudoktor)
Chrisding / SealCode for Simultaneous Edge Alignment and Learning (SEAL)
nasa / CeaCEA computes the equilibrium composition of mixtures via free-energy minimization, and uses the resulting product concentrations to determine thermodynamic and transport properties. It includes a large database of species with thermodynamic curve-fit data, and can be used for rocket performance, detonation parameters, and shock-wave analysis.
ComputationalThermodynamics / MAGEMinThe parallel Mineral Assemblage Gibbs Energy Minimization package
yilundu / Irem Code ReleaseICML 2022: Learning Iterative Reasoning through Energy Minimization
volpatto / GibbsAn open source python library for equilibrium calculation based on global minimization of Gibbs free energy.
roflmaostc / Fast Approximate Energy Minimization Via Graph CutsMinimize Energy in Images.
ruizhaocv / E CEM For Hyperspectral Target DetectionEnsemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection
somdattagoswami / DEM PhaseFieldAdaptive phase field modeling of fracture using deep energy minimization.
ermongroup / F EBMCode for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020
markditsworth / Microgrid OptimizationAn optimization routine for minimizing electricity costs of a microgrid, consisting of a solar panel array and energy storage system.
Beckybams / Optimized Electric Vehicle Charging Station PlacementOptimized Electric Vehicle Charging Station Placement uses AI and data analytics to determine the best locations for EV charging stations. It considers factors like traffic flow, population density, and energy availability to minimize costs, reduce congestion, and ensure accessibility
zahraghh / Multi Objective OptimizationMulti-objective optimization of operation planning of disitrict energy systems to minimize operating cost and emissions under uncertainties.
Grv-Singh / Solar Power Forecasting⚡ Power forecasting of 💚 renewable energy power plants is a very active research field, as reliable information about the 🔮 future power generation allow for a safe operation of the power grid and helps to ⤵ minimize the operational costs of these energy sources.
EsratMaria / Reinforcement Learning For Energy Minimization Using CLoudsimImplementation of RL in the cloud for energy minimization due to migration and excess power consumption.
mmdnmz / EyerissEyeriss‑V1 CNN Hardware Accelerator (Verilog) fully parametric. This repository contains the complete Verilog implementation of a functioning CNN hardware accelerator based on the Eyeriss‑V1 architecture. Designed for energy‐efficient deep learning, the design implements the row‑stationary dataflow to maximize data reuse and minimize data movement.
AryanB13 / Adaptive Microgrid Management For EV Charging StationsThis project implements an intelligent Energy Management System (EMS) for optimizing Electric Vehicle (EV) charging efficiency using Reinforcement Learning. It balances power from the grid, photovoltaic systems, and battery storage to minimize costs and maximize renewable energy usage. The system is trained on real-world data from Texas.
alexOarga / Compositional Reasoning[NeurIPS'25] Generalizable Reasoning through Compositional Energy Minimization
Geraldine-Winston / Energy Efficient Building Design Recommendations Using Deep Reinforcement Learning.This project develops a deep reinforcement learning agent to recommend energy-efficient building designs by optimizing parameters like window size, insulation thickness, and HVAC setpoints, aiming to minimize energy consumption and enhance sustainability.
bullitt186 / Ha WattwiseSmart battery optimization for HA based on AppDaemon that maximizes solar energy usage, minimizes grid costs
