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Impact of Geothermal District Heating System on Flexibility of Microgrid in Tuttle, Oklahoma: Preprint
Flexibility is the capability of the power grid to maintain a balance between electricity generation and variable demand. This study presents preliminary results evaluating the impact of geothermal district heating systems on the flexibility of a conceptual microgrid in Tuttle, Ok...
Oh, H. et al NLR
Sep 30, 2024
Powering Up Data Centers Discussion Series
Hosted by the National Association of State Energy Officials (NASEO), the Powering Up Data Centers series features discussions on energy efficiency, renewable integration, and resilience strategies for data centers. The webinars bring together experts from government, industry, an...
National Association of State Energy Officials
Dec 31, 2024
5 Resources
5 Resources
Unleash Values From Grid-Edge Flexibility
Summarizes control strategies, coordination frameworks, and value streams enabled by grid edge assets. Highlights practical experience, gaps in visibility and interoperability, and opportunities to scale flexibility services across distribution systems.
Ding, F. et al NLR
Jan 01, 2022
MicroGrid Renewable Integration Dispatch and Sizing (MiGRIDS) Analysis of Spinning and Regulating Reserve Options for Wind in an Alaskan Diesel Microgrid
Applies the open-source MicroGrid Renewable Integration Dispatch and Sizing (MiGRIDS) Python tool to assess operating reserve strategies in a wind-diesel microgrid relevant to Alaska. Compares options to reduce diesel spinning reserve and regulating requirements, including optimiz...
VanderMeer, J. et al University of Alaska Fairbanks
Dec 31, 2022
Deep Reinforcement Learning for Microgrid Cost Optimization Considering Load Flexibility
This paper proposes a novel Soft-Actor-Critic (SAC) based Deep Reinforcement Learning (DRL) method for optimizing the cost of microgrid operation by leveraging load flexibility. The proposed SAC-DRL method is designed to coordinate the control of distributed energy resources (DERs...
Pei, Y. et al University of Connecticut
Dec 31, 2023
Two-Layer Predictive Controller for V2G and G2V Services Using on Wireless Power Transfer Technology
This paper presents a comprehensive solution that allows electric vehicles (EV) to autonomously charge and discharge their batteries wirelessly during long term parking and/or the transient stops. A two-layer power-flow controller for bidirectional wireless power transfer system (...
Mohamed, A. and Mohammed, O. Florida International University
Dec 31, 2017
PRAS: Probabilistic Resource Adequacy Suite
PRAS is a modeling suite developed by NREL that performs probabilistic resource adequacy assessments for power systems. It incorporates weather variability, generator outages, and demand uncertainty to estimate metrics such as loss of load expectation (LOLE). Users can explore how...
NLR
Apr 20, 2025
Electricity Data Browser
The U.S. Energy Information Administration's Electricity Data Browser provides interactive charts, maps, and downloadable tables on generation, demand, fuel mix, prices, capacity, and emissions. Users can compare time series, build custom views, and export datasets at national, st...
, . U.S. Energy Information Administration
Dec 01, 2025
Energy Storage Workforce Development: Training Needs Assessment, Training Inventory, and Workforce Development Investments
Technical report assessing energy-storage workforce demand, priority occupations, and skills; cataloging training providers and programs; and identifying pipeline gaps. Recommendations address curriculum development, credential pathways, and targeted investments to support storage...
, . New York Energy Research and Development Authority
Apr 01, 2021
Energy Workforce and Training Needs for the Clean Energy Economy
Slide deck summarizing national clean energy workforce trends, projected demand, and federal initiatives. The material highlights priority occupations, training and apprenticeship models, and interagency partnerships, with strategies to meet regional needs and advance equitable ac...
Jones, B. et al U.S. Department of Energy
Jul 26, 2023
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