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Edgecom Energy's NeuraCharge(TM) platform clears independent technology review by DNV with no red flags identified. NeuraCharge(TM) just passed an independent technology review by DNV, with zero red flags identified. One more proof point as Global Environment Watch grow across new U.S. markets. DNV validates NeuraCharge(TM) battery dispatch and optimization technology, reinforcing Edgecom's readiness to expand beyond Canada into the U.S. TORONTO, ONTARIO, CANADA, August 6, 2026 / EINPresswire.com / - Today, Edgecom Energy announced that its NeuraCharge(TM) platform has passed an independent Red Flag Review conducted by DNV, the global assurance and risk management organization, with no red flags identified. The review is one of the energy industry's most rigorous forms of third-party technology assessment, and it is widely relied on by lenders, investors and utilities evaluating energy software before it is deployed at scale. DNV was commissioned by Edgecom Energy to assess NeuraCharge(TM), an Energy Resource Management System, or ERMS, that automates dispatch and optimization for distributed energy resources, including battery energy storage systems, or BESS. The review centered on the readiness of NeuraCharge(TM) to support front-of-the-meter (FTM) battery storage participation in Ontario's wholesale electricity markets under the Independent Electricity System Operator's (IESO) Long-Term 1 (LT1) procurement program. "No red flags identified," DNV concluded in its final report, stating that NeuraCharge(TM) provides a strong and credible operational foundation for FTM BESS participation and that its remaining development items do not represent barriers to near-term commercial operation. What DNV Reviewed DNV evaluated NeuraCharge(TM) against a purpose-built operational capability framework covering market intelligence, dispatch optimization and strategy, market operations, remote dispatch and monitoring, operational reporting, market settlement, and operational support and compliance, rating each area from already proven in live deployments to still in development. Several core capabilities were found to be demonstrated in live commercial use across Ontario and Alberta, including dispatch scheduling, controller integration, one-second SCADA and telemetry ingestion, real-time dashboards, and around-the-clock monitoring through Edgecom's Toronto-based network operations center. DNV also rated the platform's forecasting capabilities as Demonstrated, pointing to 12-day probabilistic peak forecasting from pTrack (R), which has since expanded to day-ahead pricing, locational marginal pricing, and bid strategy development. A Differentiator in a Growing Market DNV's report found that NeuraCharge(TM) shows a more advanced level of Ontario market specialization than comparable platforms it has evaluated. The combination of IESO-specific forecasting and optimization workflows, Energy Market Participant registration, and an established operating track record for distributed energy resources gives Edgecom a meaningful edge as Ontario's utility-scale battery storage market takes shape. Expanding Beyond Canada NeuraCharge(TM) is currently operating in Ontario, under the IESO, and in Alberta, under the Alberta Electric System Operator. Edgecom has already secured approvals from the U.S. Federal Energy Regulatory Commission and expects to bring NeuraCharge(TM) into the PJM Interconnection once licensing is complete, with a market-agnostic architecture built for future deployment across other U.S. grid operators, including the New York ISO, ISO New England and the Midcontinent ISO. Quote from Edgecom Energy "An independent review like this isn't something we asked for lightly. We wanted DNV to look under the hood and tell us the truth, and that's exactly what they did. Getting a clean result with no red flags confirms what our customers already see in the field: NeuraCharge(TM) is built to perform in the toughest wholesale markets, not just in Canada, but as we grow into new markets across the U.S." -Nasreddine Guerfala, P.Eng, EVP of DERs, Edgecom Energy The information presented herein is a limited excerpt from a broader report and should not be relied upon as a complete representation of the underlying analysis or conclusions. The full report contains material information, including methodology, assumptions, limitations, and additional findings, necessary for a complete understanding of the results. Access to the full report may be requested through Edgecom Energy, subject to Edgecom Energy's approval and DNV's Important Notice and Disclaimer. DNV provides assurance to the entire energy value chain through its advisory, monitoring, verification, and certification services. As the world's leading resource of independent energy experts and technical advisors, the assurance provider helps industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally in the energy industry. DNV is committed to realizing the goals of the Paris Agreement, and supports customers to transition faster to a deeply decarbonized energy system. About Edgecom Energy Edgecom Energy delivers automated energy optimization for commercial and industrial facilities across North America. One platform monitors energy use in real time, predicts grid peaks, manages demand response enrollment, and dispatches assets like batteries and HVAC systems, with savings verified against the customer's utility bill. Edgecom has delivered more than $350 million in verified savings since 2020 and is a registered market participant in Canada and the U.S. market. Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. Global Environment Watch do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.

Introducing Premium PV & Wind Models: DNV's site-specific forecasts via the Solcast API. For utility-scale renewable assets, forecast inaccuracies result in imbalance penalties, missed revenue opportunities, and operational uncertainty. Premium PV Power and Premium Wind Power combine DNV's operational forecasting expertise with API delivery, providing site-specific solar and wind power forecasts to support day-to-day renewable asset operations. What launched. DNV has introduced two new forecasting services: Premium PV Power and Premium Wind Power, delivered via API. Both deliver site-specific, deterministic and probabilistic power forecasts for operational wind and solar assets. In addition, both are built by DNV's forecaster team; the same team that has developed operational forecasting systems for system operators and asset owners across more than 20 countries. 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For utility-scale renewable operations, forecast performance can influence bidding outcomes, imbalance exposure and operational decision-making. Site-specific forecasting can help reduce uncertainty associated with these activities. Premium Power is designed to reduce this gap through a multi-family model ensemble - candidates generated across physical, ML, neural network, and non-linear model families. DNV's forecasting engineers review and select the most suitable configuration for each site, while weather inputs are refined through a site-specific NWP ensemble, not just the power conversion that follows. The result is a forecast tailored to the characteristics of an individual site, maintained by DNV and updated as site performance evolves. How it works. The Premium PV and Wind modelling pipeline is built independently for each technology, but follows the same modelling pattern, with six stages: * Multi-model weather ingestion. Multiple global and regional numerical weather prediction (NWP) models are ingested to capture a wide range of atmospheric outcomes. This reduces sensitivity to individual model error - no single weather model dominates the forecast. * Site-specific weather refinement. The raw NWP data is downscaled and bias-corrected using your site's local measurements. The weather input itself is tuned to your location, not just the power conversion that follows. * Optimal model blending. Multiple NWP sources are combined to produce optimised inputs for the power model, using approaches optimised from historical training data. * Physics-based power conversion. Asset-specific physical and statistical models convert the refined weather data into power output. PV and wind follow different conversion paths, each grounded in the relevant physics. * Machine learning optimization. ML models trained using site historical measurements close the gap between the physics-based forecast and what the site actually produced. This captures site-specific effects that may not be fully represented through physical parameterisation alone: real inverter behaviour, degradation, shading, equipment interactions in PV, as well as terrain complexity and wind farm layout effects in wind power generation. * Post-processing and operational adjustments. Customer-supplied availability and curtailment schedules are applied to the forecast outputs. The result is a forecast that combines physics and machine learning, trained on your site, updated with your data. What parameters are available through the API. * Power forecasts in MW - already modelled through the trained power model. Power forecasts provided directly in MW. * Probabilistic percentiles - P10, P25, P75, and P90, alongside a central power forecast. These represent uncertainty ranges derived from ensemble spread and statistical methods. Lower percentiles can support more conservative operational or trading positions, while higher percentiles may be relevant where greater forecast risk is acceptable. The central forecast provides a balanced reference point. * 14-day forecast horizon - from now +5 minutes through to two weeks ahead, at resolutions from 5 minutes to hourly. * Curtailment handling - time-varying curtailment and availability schedules can be provided. * API delivery - forecasts are available in JSON and CSV formats through API delivery, using stable, versioned interfaces designed for operational workflows. Example PV probability forecast from API Example wind probability forecast from API Premium PV Power and Premium Wind Power are the latest release from DNV's forecasting team, making site-specific solar and wind power forecasts available via API for operational use. For operators managing multi-technology portfolios, consistency across forecasting methodologies can simplify portfolio-level forecast management. Premium PV Power and Premium Wind Power use consistent modelling principles, uncertainty quantification and data formats across solar and wind assets. Portfolio-level forecast risk management becomes simpler when model quality and methodology are consistent across managed assets. Premium Wind Power includes hub-height wind speed and direction alongside power output, supplementing the solar specific weather data already available Probabilistic percentiles are available for both power and wind speed. Developed by DNV's forecasting team. Premium Power is built by DNV's Forecaster Team - the same engineers who have delivered operational forecasting systems to system operators, multi-technology IPPs, and asset owners for over 20 years. That team's track record spans 2,000 wind and solar sites representing 150 GW of installed capacity across six continents. In 2025, the New Zealand Electricity Authority selected DNV's solution, using the same underlying forecasting methodology - through a competitive evaluation process - as the national forecasting standard for all utility-scale wind and solar projects in the country. Who this is for. Premium Power is designed for operators of utility-scale wind and solar assets - specifically: * Multi-technology IPPs managing portfolios across wind and solar, often already running ensemble forecasts from multiple providers. Premium Power can provide an additional site-trained forecasting input within an existing forecasting framework. * Single-asset operators where forecast accuracy has a direct financial impact on bidding, dispatch, or regulatory penalties. * Operators in markets with imbalance penalties where the difference between a generic forecast and a site-trained forecast can have measurable financial implications. DNV handles model training, validation, selection, and retraining. You provide generation data and engage at key decision points - no need to build an internal data science capability, source NWP models, or run QC pipelines. Training a site-specific model requires your historical measurement data (minimum 6 months), engineering review, and quality validation. The accuracy you receive is a direct result of the care taken in model training. What getting started looks like. * You provide at least 6 months historical measurement data and asset configuration * DNV engineers clean and ingest the data * The ML modelling pipeline trains and evaluates models for your site * The training report is reviewed, reconsidered and re-run as many times as required - once model performance has been validated against DNV's review criteria, your endpoint goes live. Forecasts are available through API delivery. Data handling. Customer data is used to train and maintain forecasts for the relevant site in accordance with DNV's data handling and privacy policies. Contact DNV to discuss forecast requirements, model training considerations and how Premium Power forecasts can support renewable asset operations. 7/23/2026 9:00:00 AM

Event #140 - DNV maritime Forecast. The Shipping Professional Network London is pleased to announce that The Shipping Professional Network London will be holding Event #140 - DNV Maritime Forecast in October, in partnership with DNV. Further details to be confirmed soon!