💡 Irfan Energy Pro
GEO-PINN
Real Physics
Equipment DB
AI Model
🔍 Cari
Ready
📡
API
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📍 Location & GPS
GPS:
Standby
🔄 Update GPS
🗺️ Coordinates
Latitude
Longitude
📍 Update
⚡ Area Setup
Energy Source
☀️ Solar Photovoltaic
💨 Wind Turbine
⚡ Hybrid (Solar+Wind)
Grid Resolution (meter)
Forecast Horizon (hours)
▶ Run Forecast
🗑 Clear Area
🔬 Advanced Physics
Panel Efficiency (%)
Surface Roughness (m)
Hub Height (m)
NOCT (°C)
🧠 AI Model
Model Type
LSTM Time Series
CNN Spatial
Hybrid Physics+AI
Physics Weight
Confidence Threshold
🧠 Train AI
📤 Import/Export
📥 Import JSON
📄 Import PDF
💾 Export JSON
📊 Export CSV
📄 Export PDF
🗺️ MAP LEGEND
Coverage Area
2m Grid
High (>80%)
Medium (50-80%)
AI Zone
📊 Real-Time Data
☀️
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Irradiance
W/m²
💨
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Wind Speed
m/s
🌡️
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Temperature
°C
💧
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Humidity
%
Elevation:
--
m
Last Update
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📐 Area Stats
TOTAL COVERAGE
0.00 m²
Perimeter
0.00 m
Grid Cells
0
Vertices
0
Centroid
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📈 Forecast Results
Model Confidence
--
Peak Output
--
Avg Output
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Total Energy
--
Physics Loss
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🧮 Physics Log
Ready for forecast...
🤖 AI Metrics
Model Type
-
Accuracy
-
Loss (MAE/RMSE)
-
Inference Time
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💡 Recommendations
🎯 AI Equipment Selection
Run forecast to get recommendations...
🔬 Detailed Physics Calculations
Solar Power (SPA)
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GHI = DNI·cos(θz) + DHI
Sun Position
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Solar Altitude (°)
Panel Temp (NOCT)
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T_cell = T_a + (NOCT-20)·G/800
Wind Power Law
--
P = 0.5·ρ·A·Cp·v³
Efficiency Factor
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η = η_ref·(1-γ·ΔT)
AI Adjustment
--
P_final = P_physics·(1+δ)
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