ISO-NE experienced its highest-ever instant offshore wind output on the evening of Aug. 30, the RTO told the NEPOOL Participants Committee.

ISO-NE experienced its highest-ever instant offshore wind output on the evening of Aug. 30, the RTO told the NEPOOL Participants Committee.

Xpansiv Expands Nuclear Credit Trading Amid Rising Clean Energy Demand Nuclear power is gaining recognition for its role in generating clean electricity and its value within environmental markets. Xpansiv has begun trading New England Power Pool (NEPOOL) Emission-Free Energy Certificates (EFECs) on its CBL spot exchange, adding them to the existing offerings of PJM EFECs,

Regional Collaboration Key to Transmission Line Integration Collaboration has been instrumental in the integration of the New England Clean Energy Connect (NECEC) transmission line into the regional power grid, according to ISO New England. Nick Gangi, NEPOOL Reliability Services Manager, emphasized the importance of stakeholder collaboration, stating that it is both stimulating and beneficial when

ISO New England recently released an updated Wholesale Markets Project Plan (WMPP) as of June 2025. This document provides a snapshot of the progress on 13 key initiatives impacting the region’s wholesale electricity markets. The WMPP is a recurring publication, released both in the summer and winter months. It complements the ISO’s Annual Work Plan, which is issued during the spring and fall. ISO New England consistently works on various projects to improve and evolve the wholesale electricity markets. A major focus currently is the Capacity Auction Reforms, which involves shifting to a prompt and seasonal capacity market and revising capacity accreditation processes. The comprehensive WMPP webpage serves as a central resource, bringing together the Annual Work Plan, the WMPP itself, details on key projects, a record of completed market design projects, the NEPOOL Markets Committee Two-Month Look-Ahead Forecast, and agendas and materials from Markets Committee meetings. Additional resources are readily accessible, including direct links to Federal Energy Regulatory Commission filings and orders, and the ISO’s Participant Readiness Project Outlook page, designed to keep market participants and others informed about these critical market-related developments.

Study: resLens: genomic language models to enhance antibiotic resistance gene detection. Image Credit: nepool / Shutterstock A recent study published in npj Antimicrobials and Resistance developed a family of novel genomic language models (gLM), namely resLens, to improve the detection of antibiotic resistance genes (ARGs). The rise in antibiotic resistance in pathogenic microbes warrants the development of more advanced tools to study ARGs and their evolution. Most available alignment-based tools, such as k-mer approaches, best-hit algorithms, and hidden Markov model (HMM) methods, have several limitations, including poor performance when variants and reference ARGs do not match closely. Moreover, databases represent only a fraction of the resistome and may not keep up with the scale and pace of resistance evolution. While deep learning methods are more dynamic than alignment-based tools and have sought to address these limitations, many earlier approaches must learn their ARG and protein function representations from scratch, whereas resLens uses transfer learning from a pre-trained DNA language model. ARG Dataset and resLens Model Design In the present study, researchers presented resLens to enhance ARG detection and analysis. The study sourced ARGs from the National Center for Biotechnology Information (NCBI) Pathogen Detection RefGene and ResFinder databases. These datasets were...