Estudos de conexão,
em 1 cliqueem algumas palavras

Descreva seu projeto. Nosso agente Matt cuida de cada etapa do seu estudo de conexão, seguindo os padrões do operador.

Experimente agora

Como funciona

1

Importe seu modelo

Carregue arquivos PSS/E, MATPOWER, CIM, ANAREDE ou PowerFactory. Ou comece com um benchmark IEEE.

2

Descreva seu projeto

Peça um estudo de conexão, fluxo de potência, análise de contingência ou qualquer outra coisa, em linguagem natural.

3

Veja os resultados

Receba tabelas, gráficos, diagramas unifilares e relatórios em PDF.

Veja em ação

Frequently asked questions

What is an AI agent for power systems?
An AI agent for power systems interprets an engineering request in plain language and then executes the analysis itself — building or editing the network model, running power flow or contingency cases, and reporting violations. It differs from a general chatbot because the numbers come from a solver, not from generated text.
Can AI agents run power system studies?
Yes, when the agent is wired to a real solver. MWatt AI's agent executes pandapower, so a request such as 'run N-1 on this connection point' returns solved voltages, line loadings and the resulting violations, instead of a description of how the study would be done.
How are AI agents used in the electric power sector?
Most current offerings target customer service, billing and predictive maintenance. Engineering use is narrower and more demanding: network modelling, power flow, contingency screening and grid connection studies, where every answer has to satisfy physical limits and grid code requirements.
Can you trust an AI agent for grid engineering?
Trust comes from checkability rather than from the model. The agent runs a deterministic solver on a pandapower JSON model you can open and inspect, so any result can be reproduced and audited outside the tool — the network file stays the source of truth.
What is MWatt AI?
MWatt AI is an AI engineering IDE for power systems. Its agent, Matt, executes real pandapower simulations on your network models: create buses, lines and generators, run AC power flow, and perform N-1 contingency analysis.
Can it run grid connection studies?
Yes — connection studies are the core use case: model the connection point, run baseline power flow and N-1 contingency analysis, and generate a report of voltage and thermal violations.
What simulation engine does it use?
The agent executes pandapower, the open-source Python library for power system analysis. Your network files are pandapower JSON — the JSON is the source code and the diagram is the preview.