DECEMBER 19, 2024 Journal Article Gaining Insight into Lithium-Ion Battery Degradation by a Calorimetric Approach ( Read More )
NOVEMBER 22, 2024 Conference Paper Representative Period Selection for Robust Capacity Expansion Planning in Low-carbon Grids ( Read More )
NOVEMBER 18, 2024 Report Energy Storage Participation Algorithm Competition Overview: Market simulation, divisions, stages, storage attributes, and scoring ( Read More )
SEPTEMBER 25, 2024 Report Model Formulations: Market clearing models, market design specifications, and dispatch simulation ( Read More )
JULY 26, 2024 Journal Article On the Impact of Tidal Generation and Energy Storage Integration in PV-rich Electric Distribution Systems ( Read More )
APRIL 30, 2024 Conference Paper Improving Frequency Stability and Minimizing Load Shedding Events by Adopting Grid-Scale Energy Storage with Grid Forming Inverters ( Read More )
MARCH 28, 2024 Journal Article In-field alpha spectrometry system for uranium enrichment verification of uranium hexafluoride ( Read More )
FEBRUARY 17, 2024 Conference Paper A Multi-objective Microgrid Assessment and Sizing Framework for Economic and Resilience Benefits ( Read More )
JUNE 11, 2023 Journal Article Development and Performance Evaluation of a Novel y-y Coincidence Analysis Software ( Read More )
MAY 13, 2023 Journal Article An overview of the design and optimized operation of vanadium redox flow batteries for durations in the range of 4-24 hours ( Read More )
APRIL 21, 2023 Conference Paper Evaluating the Risk of Enabling Energy Storage Systems to Provide Multiple Services ( Read More )
APRIL 19, 2023 Journal Article Unlocking the NaCl-AlCl3 Phase Diagram for Low-Cost, Long-Duration Na-Al Batteries ( Read More )
JANUARY 31, 2023 Conference Paper Capacity Expansion Planning for LA Basin: the Role of Energy Storage ( Read More )
JANUARY 31, 2023 Conference Paper Enhanced Inertial Support: Modeling Fast Frequency Response Controls for Energy Storage System Inverters ( Read More )
JANUARY 13, 2023 Journal Article Predicting Peak Day and Peak Hour of Electricity Demand with Ensemble Machine Learning ( Read More )