Project Overview

SolarCast is a cloud-based service that provides customized site-specific predictions of solar generation for solar deployments. With just minimal historical power generation data and site address, we generate accurate predictions which can be visualized through a simple yet comprehensive UI. Further, we provide programmatic APIs to enables developers to integrate our predictions into their energy applications.

We will be launching our beta version soon.

Data procesing pipeline

Key features

actual v/s historic
power comparison

Programmatic API to
fetch predicted power

Time-series UI
to pan and zoom

Embedded weather


Project Funding

This project is funded in part by Massachusetts Department of Energy Resources (DOER) and the National Science Foundation (NSF).