1. Scheduling worker
All requested jobs, deadlines, outages and reserve requirements. Compare forecast and adverse solar with the same-work baseline.
Plan flexible jobs around sunlight, turn the plan into a dated manual handoff, then compare reported execution without hiding unfinished work.
Open the application · Working demonstration · Code and tests · Reproduce
All requested jobs, deadlines, outages and reserve requirements. Compare forecast and adverse solar with the same-work baseline.
Clock-time work cards, Markdown and tentative ICS. Explicit work date and UTC offset. Nothing controls equipment or writes to an account.
Actual reported start/finish and completed, stopped or skipped outcome. Reuse the energy simulator; keep incomplete work visible.
Original JavaScript scheduling and energy engine unchanged. Browser worker, no API key or external runtime request. Four jobs, one machine, whole-hour time. Tests include the original independent Python reference and actual browser workflows. Synthetic examples, not a field study.
A small solar-powered lab or workshop whose operator can move a few nonurgent jobs. The work sheet is the immediate output, not another graph to interpret.
Free local planning. Test paid setup and data-import support. Illustrative $25 setup plus $5/month, not current revenue or validated pricing.
Freeze the plan in advance. Record every outcome and supplied conditions. Compare completed work, grid energy, end storage and operator effort.
Stopped attempts still consume energy; skipped work, missed deadlines, failed energy checks and additional battery depletion block an equivalent-work savings claim. Neither input hashes nor operator reports establish true measurements. No pilots, customers, measured savings, carbon reduction or prize is claimed.