55 skills found · Page 1 of 2
pypsa-meets-earth / Pypsa EarthPyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.
tahanakabi / DRL For Microgrid Energy ManagementWe study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a population of thermostatically controlled loads, a population of price-responsive loads, and a connection to the main grid. The proposed energy management system is designed to coordinate between the different sources of flexibility by defining the priority resources, the direct demand control signals and the electricity prices. Seven deep reinforcement learning algorithms are implemented and empirically compared in this paper. The numerical results show a significant difference between the different deep reinforcement learning algorithms in their ability to converge to optimal policies. By adding an experience replay and a second semi-deterministic training phase to the well-known Asynchronous advantage actor critic algorithm, we achieved considerably better performance and converged to superior policies in terms of energy efficiency and economic value.
FlexMeasures / FlexmeasuresThe intelligent & developer-friendly EMS to support real-time energy flexibility apps, rapidly and scalable.
BoooC / CNN Accelerator Based On Eyeriss V2A Flexible and Energy Efficient Accelerator For Sparse Convolution Neural Network
m3g / CellListMap.jlFlexible implementation of cell lists to map the calculations of particle-pair dependent functions, such as forces, energies, neighbor lists, etc.
NatLabRockies / OCHREA Python-based building energy modeling (BEM) tool designed to model flexible loads in residential buildings
scout-bto / ScoutA tool for estimating the future energy use, carbon emissions, and capital and operating cost impacts of energy efficiency and demand flexibility technologies in the U.S. residential and commercial building sectors.
TulipaEnergy / TulipaEnergyModel.jlAn energy system optimization model that is flexible, computationally efficient, and academically robust.
sharandac / PowermeterA very flexible ESP32 power meter / energy meter with SCT-013-0x0, ZMPT101B, ACS712 sensors
floracharbo / MARL Local ElectricityMulti-agent reinforcement learning for privacy-preserving, scalable residential energy flexibility coordination
RichardEssery / FSM2Flexible Snow Model - a multi-physics energy balance model of accumulation and melt of snow on the ground and in forest canopies
centrefornetzero / Pypsa FesA model that optimises investment and operation, and incorporates flexibility domestic demand flexibility to model scenarios for Great Britain's future energy system.
OpenTerrace / Openterrace PythonOpenTerrace: A fast, flexible and extendable Python framework for packed bed thermal energy storage simulations
LBNL-ETA / EnergyFlexibilityOntologyThis repository is for the Energy Flexibility Ontology.
ORNL-Real-Sim / FIXSFlexible Interface for X-in-the-loop Simulation (FIXS) is part of the Real-Sim project funded by Department of Energy (DOE)-Transportation Technology Office (TTO)-Energy Efficient Mobility Systems (EEMS) program. It is part of the core tools of EEMS.
cls1277 / IMANSInverse Model and Adaptive Neighborhood Search based Cooperative Optimizer for Energy-efficient Distributed Flexible Job Shop Scheduling
Rutaremwa / EnergyTradingDissertationModelThis is my attempt at modeling an intraday energy trading scenario for three different locations. I use the Gurobi platform to optimize revenue over the course of June 2019 for a commercial building energy system with a solar plant, on-site energy storage and an electric heat pump flexible load. Implemented for three locations in Spain, Germany and the UK.
hamcruise / FJSP ShutdownCompromising productivity in exchange for energy-saving does not appeal to highly capitalized manufacturing industries. However, we might be able to maintain the same productivity while significantly reducing the energy-consumption. This paper addresses a flexible job shop scheduling problem with a shutdown (on/off) strategy aiming to minimize makespan plus total energy consumption. First, an existing mixed integer linear programming model in the literature is improved and an alternative model is proposed. Second, novel constraint programming and genetic algorithm are proposed. Third, practical operational scenarios are compared and managerial insight is derived. Finally, we provide benchmarking instances, CPLEX codes, and genetic algorithm codes, in order to promote related-research, thus expediting the adoption of energy-efficient scheduling in manufacturing facilities. The computational study demonstrates (1) the proposed models significantly outperform other benchmark models and (2) we can maintain maximum productivity while significantly reducing energy-consumption up to 20%.
IasonKalaitzakis / Optimal Power Management And Control Of Residential MicrogridsMaster Thesis - Home Energy Management System optimizing prosumers' costs, supporting grid services, ensuring independent operation during grid disconnection, and employing optimization methods and forecasting techniques to achieve cost reduction and operational flexibility.
BigdogManLuo / Wind ESS Optimization In Frequency Regulation MarketCode implementation of “Flexible Coordination of Wind Generators and Energy Storages in joint Energy and Frequency Regulation Market“
