| Effects on power system operations of potential changes in wind and solar generation potential under climate change MT Craig, I Losada Carreņo, M Rossol, BM Hodge, C Brancucci Environmental Research Letters 14 (3), 034014, 2019 | 46 | 2019 |
| Potential impacts of climate change on wind and solar electricity generation in Texas I Losada Carreņo, MT Craig, M Rossol, M Ashfaq, F Batibeniz, SE Haupt, ... Climatic Change 163, 745-766, 2020 | 29 | 2020 |
| Consequences of neglecting the interannual variability of the solar resource: A case study of photovoltaic power among the Hawaiian Islands R Bryce, IL Carreņo, A Kumler, BM Hodge, B Roberts, CB Martinez-Anido Solar Energy 167, 61-75, 2018 | 29 | 2018 |
| Inter-annual variability of wind and solar electricity generation and capacity values in Texas A Kumler, IL Carreņo, MT Craig, BM Hodge, W Cole, C Brancucci Environmental Research Letters 14 (4), 044032, 2019 | 20 | 2019 |
| SODA: An Irradiance-Based Tool to Generate Sub-Minute Solar Power Stochastic Time Series IL Carreno, R Ramakrishna, A Scaglione, D Arnold, C Roberts, ST Ngo, ... | 6* | 2020 |
| An adversarial model for attack vector vulnerability analysis on power and gas delivery operations IL Carreno, A Scaglione, A Zlotnik, D Deka, K Sundar Electric Power Systems Research 189, 106777, 2020 | 4 | 2020 |
| A synthetic test instance for a us natural gas network and associated power grid IL Carreņo, A Scaglione, A Zlotnik 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 4 | 2020 |
| Log (v) 3LPF: A linear power flow formulation for unbalanced three-Phase distribution systems IL Carreņo, A Scaglione, SS Saha, D Arnold, ST Ngo, C Roberts IEEE Transactions on Power Systems 38 (1), 100-113, 2022 | 3 | 2022 |
| Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms T Wu, IL Carreņo, A Scaglione, D Arnold IEEE Transactions on Smart Grid, 2023 | 2 | 2023 |
| Annually and monthly resolved solar irradiance and atmospheric temperature data across the Hawaiian archipelago from 1998 to 2015 with interannual summary statistics R Bryce, IL Carreņo, A Kumler, BM Hodge, B Roberts, CB Martinez-Anido Data in Brief 19, 896-920, 2018 | 2 | 2018 |
| Deep Reinforcement Learning with Graph ConvNets for Distribution Network Voltage Control T Wu, IL Carreno, A Scaglione, D Arnold arXiv preprint arXiv: 2203.16732, 2022 | 1 | 2022 |
| Interannual variability analysis of utility-scale solar photovoltaic and wind power resources in Arizona and New Mexico IL Carreņo Northern Arizona University, 2018 | 1 | 2018 |
| SoDa: An Irradiance-Based Synthetic Solar Data Generation Tool (SoDa) v0. 1 IL Carreno, A Scaglione, D Pinney, R Ramakrishna National Rural Electric Cooperative Association (NRECA); Arizona State Univ …, 2021 | | 2021 |
| Using Transient Pipeline Simulation to Evaluate Electric Power Generation Reliability IL Carreņo, A Scaglione, A Giacomoni, K Sundar, D Deka, A Zlotnik PSIG Annual Meeting, PSIG-2119, 2021 | | 2021 |
| Potential Impacts of Climate Change on Wind and Solar Electricity Generation in Texas C Brancucci, IL Carreņo, M Craig, M Rossol, M Ashfaq, F Batibeniz, ... AGU Fall Meeting 2018, 2018 | | 2018 |
| Potential Impacts of Climate Change on Wind and Solar Electricity Generation in Texas M Craig, C Brancucci, I Losada Carreņo, M Rossol, M Ashfaq, F Batibeniz, ... AGU Fall Meeting Abstracts 2018, GC23D-1241, 2018 | | 2018 |
| Power system operation and cost implications of changes in wind and solar resources under climate change M Craig, I Losada Carreņo, C Brancucci AGU Fall Meeting Abstracts 2018, GC31F-1318, 2018 | | 2018 |
| Cybersecurity via Inverter Grid Automatic Reconfiguration (CIGAR) Year 3 Report A Scaglione, IL Carreno, S Saha, A Kocheturov, D Fradkin, D Pinney, ... | | |
