Highlights
IIA supported (ever)Profile claimed by owner
About
Photovoltaic Performance, Fault, and Yield Prediction
PVPredict offers a SaaS suite of software tools for photovoltaic (PV) systems. Its solution is designed for performance and yield prediction based on machine-learning software and the creation of behavior profiles for each PV system, with no need for sensors or configuration information for the system. PVPredict aims to keep residential, commercial, and utility PV owners informed that their PV systems are running at expected efficiency levels, while simultaneously enabling grid managers to receive the next day's hourly production from residential neighborhoods as a single virtual PV power plant.
Identity
| Name | PVpredict |
|---|---|
| Slug | ipv-solar |
| Former names | iPV solar |
| Type / kind | startup |
| Crunchbase ID | pvpredict |
| Source _id | agxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAgL7sxPYIDA |
Status
| Status | inactive |
|---|---|
| Status reason | Non Active, Dec 2021 ceased to operate |
| Last update | 2026-05-17 |
Location
| HQ country code | IL |
|---|---|
| HQ region/district | Center District |
| HQ city | Ra'anana |
| HQ address | 11 Hasadna Street Suite 101 Raanana, Israel |
Web & social
| Website | http://www.pvpredict.com/ |
|---|
Classifications
Primary sector Energy Tech
Sub-sectors
Energy TechEnergy Production & Sources
Technologies
Artificial IntelligenceMachine Learning
Target customers
Energy, Utilities & Waste ManagementRenewable Energy SystemsSolar
Business models
B2B
Tags
solar-energymachine-learningenergyrenewable-energysoftware-applicationssaasmonitoringphotovoltaicspower-gridsbig-dataartificial-intelligencesmart-gridsmart-city
Funding
| Total raised | $510K |
|---|---|
| Current stage | Mature |
Raw source document
Show full JSON (0 KB)
{
"0": "s",
"1": "l",
"2": "i",
"3": "m",
"4": "p",
"5": "a",
"6": "g",
"7": "e",
"8": "s",
"9": "_",
"10": "i",
"11": "m",
"12": "p",
"13": "o",
"14": "r",
"15": "t"
}