Electrical.Forecasting
1.3.0
See the version list below for details.
dotnet add package Electrical.Forecasting --version 1.3.0
NuGet\Install-Package Electrical.Forecasting -Version 1.3.0
<PackageReference Include="Electrical.Forecasting" Version="1.3.0" />
<PackageVersion Include="Electrical.Forecasting" Version="1.3.0" />
<PackageReference Include="Electrical.Forecasting" />
paket add Electrical.Forecasting --version 1.3.0
#r "nuget: Electrical.Forecasting, 1.3.0"
#:package Electrical.Forecasting@1.3.0
#addin nuget:?package=Electrical.Forecasting&version=1.3.0
#tool nuget:?package=Electrical.Forecasting&version=1.3.0
Electrical.Net
Comprehensive Electrical Engineering & Power System Framework for .NET. Made by Gravicode Studios, led by Kang Fadhil (Dibuat oleh Gravicode Studios dipimpin oleh Kang Fadhil).

Building blocks for EMS, DMS, ADMS, DERMS, VPP, SCADA, digital twins and smart grids on .NET 10:
- Electrical.Core: sparse complex LU, per-unit, phasors and symmetrical components, network model, Y-bus, MATPOWER I/O, IEEE test cases
- Electrical.PowerFlow: Newton–Raphson, fast-decoupled, Gauss–Seidel, DC, backward/forward sweep, N-1 contingency, PTDF/LODF
- Electrical.ShortCircuit / Protection / Stability / Harmonic / Circuit: IEC 60909 faults, relay coordination and arc flash, transient and voltage stability, harmonics and power quality, circuit simulation (MNA)
- Electrical.Dynamics / Emt (1.3): GENROU/GENSAL machines, exciters, governors, PSS, REGC/REEC/REPC and grid-forming inverters, PSS/E .dyr, small-signal analysis; electromagnetic transients with Bergeron lines, switches, power electronics and Rust kernels
- Electrical.Renewable / SmartGrid / Optimization / StateEstimation / Forecasting / Simulation: PV, wind, BESS, hosting capacity; demand response, EV charging, microgrids, VPP, reconfiguration; economic dispatch, DC-OPF with LMPs, unit commitment; WLS state estimation; load and renewable forecasting; QSTS and Monte-Carlo reliability
- Electrical.SCADA / IEC61850 / CIM / GIS: Modbus TCP, alarms, historian, IEC 104; SCL, GOOSE, Sampled Values; CGMES RDF/XML; GeoJSON and maps
- Electrical.DigitalTwin / AI / Cloud / HPC / Native: live grid twin, LLM grid-operator agent, web API, parallel probabilistic load flow, Rust kernels
- Electrical.Visualization(.Blazor): single-line diagrams and charts · Electrical.Cli (
eln) · Electrical.Templates
using Electrical.Core.Network;
using Electrical.PowerFlow;
var result = PowerFlowSolver.Solve(TestCases.Case14());
Console.WriteLine(result); // NewtonRaphson: converged in 4 it, ... losses 13.393 MW
Documentation (English & Bahasa Indonesia), gallery apps and source: https://github.com/DotNetVibeCoderz/Vibe_Components/tree/main/Electrical.Net
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net10.0 is compatible. net10.0-android was computed. net10.0-browser was computed. net10.0-ios was computed. net10.0-maccatalyst was computed. net10.0-macos was computed. net10.0-tvos was computed. net10.0-windows was computed. |
-
net10.0
- Electrical.Core (>= 1.3.0)
NuGet packages (4)
Showing the top 4 NuGet packages that depend on Electrical.Forecasting:
| Package | Downloads |
|---|---|
|
Electrical.DigitalTwin
Digital twin: live grid twin synchronised from SCADA measurements via state estimation, what-if simulation, asset health and explained alarms. |
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Electrical.Simulation
Simulation: quasi-static time-series (QSTS) simulation over load/PV profiles, Monte-Carlo reliability (sequential), scenario management and event timelines. |
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Electrical.AI
AI for power systems: LLM grid-operator agent with tool calling (OpenAI, Azure OpenAI, Hugging Face, Ollama, offline), anomaly detection, fault classification, and reinforcement-learning environments for Volt/VAR control. |
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Electrical.AI.Learning
Machine learning for Electrical.Net: load forecasting (gradient boosting, neural nets), fault location and classification, topology identification from measurements, and reinforcement-learning Volt/VAR agents, built on GravicodeScience (GraviLearn), ML.NET and Gravicode.RLNet. |
GitHub repositories
This package is not used by any popular GitHub repositories.