Borealis
All stakeholder engagement activities can be managed from one platform. Additional modules can be added to strengthen governance, environment, and social areas. Borealis' Stakeholder Engagement module gives you the tools to create more effective engagement plans, strengthen relationships with stakeholders, and align processes with industry best practice. To simplify your day, the Stakeholder Engagement module centralizes all stakeholder information and makes it easily accessible.
Build stakeholder trust with a proven methodology
Plan
Connect engagement strategy to execution. The mapping tool in Borealis makes it easy to analyze stakeholders to prioritize the allocation of resources.
Engage
Communicate with stakeholders in a more relevant and timely manner. Borealis uses AI-driven machine learning to keep records clean and up-to-date.
Measure
Prove compliance with ever-evolving standards. Borealis lets you easily track and progress, generate reports and documentation, and demonstrate the impacts of your efforts.
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LM-Kit.NET
LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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WAsP
WAsP, which stands for Wind Atlas Analysis and Application Program, serves as the leading software in the industry for evaluating wind resources, determining suitable sites, and calculating energy outputs for wind turbines and farms. Created by DTU Wind and Energy Systems, it boasts a distinguished history of more than 35 years and is widely acknowledged by financial institutions and regulatory bodies around the globe. This software is employed internationally across different types of landscapes, offering a comprehensive suite of models and tools that support every phase of the process, from analyzing wind data to assessing sites and estimating energy yields. Common uses of WAsP include forecasting energy production for both individual turbines and entire wind farms, evaluating efficiency and wake losses in wind farms, mapping wind resources and turbulence, and strategically siting turbines and farms. Additionally, WAsP features multiple models that effectively portray wind climate and flow dynamics over various terrains, including a straightforward linear wind flow model that is ideal for flat to moderately complex landscapes, along with easy access to the advanced WAsP CFD wind flow model, which enhances its versatility and accuracy in diverse applications. Ultimately, WAsP continues to be an indispensable tool for professionals in the renewable energy sector.
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WindSim
WindSim is a sophisticated software tool designed for wind farm development, leveraging computational fluid dynamics to deliver both advanced numerical analysis and impressive 3D visual representations, all within an intuitive user interface. Since its introduction in 2003, WindSim has transformed into a robust platform that addresses every stage of the wind farm development process, ranging from preliminary site assessments to energy production predictions. This software finds application across the globe among professionals such as wind resource analysts, energy evaluators, meteorologists, and researchers affiliated with wind turbine manufacturers, project developers, government entities, and academic institutions. WindSim employs a modular design, featuring several essential components: the Terrain module constructs a detailed 3D model of the landscape surrounding a wind farm based on elevation and surface roughness data; the Wind Fields module models the influence of the terrain on local wind patterns, considering variations in speed, directional changes, and turbulence; and the Objects module allows users to position turbines and measurement points within an interactive three-dimensional environment. Additionally, WindSim's intuitive design ensures that users can easily navigate its functionalities, making it accessible for professionals at all experience levels.
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