Products
© Fiskil 2026. All rights reserved.
Solar Providers
Solar Savings Calculator
Generic solar calculators provide inaccurate savings estimates. Fiskil calculates precise solar savings using actual household usage data from connected energy accounts.
Solar quotes use generic usage assumptions leading to disappointed customers when savings don't materialize.
Sales calculators use inflated usage estimates
Don't account for actual usage timing and patterns
Ignore seasonal variations in consumption
Overestimate self-consumption rates
Payback periods longer than advertised
Calculate solar savings using actual consumption data, usage timing, and realistic self-consumption rates.
Use real household consumption data as baseline for solar modeling.
Model realistic self-consumption rates based on usage timing patterns.
Calculate export value based on expected generation and self-consumption.
Calculate realistic payback periods using actual usage and costs.
Add accurate solar savings calculation to your solar sales process.
Homeowner connects energy account to access usage history.
API analyzes 12 months of consumption including timing and seasonality.
Calculate expected generation, self-consumption, and export based on system size.
Present accurate savings, payback period, and 25-year value.
Analyze when energy is consumed to model realistic self-consumption rates.
Account for seasonal variations in both generation and consumption.
Compare savings across different system sizes to optimise investment.
Show additional savings potential from adding battery storage.
Recommend best tariff structure for solar customers.
Model lifetime savings accounting for panel degradation and rate increases.
A solar installer uses real usage data for accurate customer quotes.
Result: Customer satisfaction up 40% with realistic savings matching actual results.
A solar comparison platform provides usage-based savings for instant quotes.
Result: Conversion rate increased 55% with personalized, trustworthy savings calculations.
A retailer offers solar products with accurate savings to existing customers.
Result: Solar product attachment rate of 12% with pre-qualified savings analysis.
GET /energy-accounts/{accountId}/usagePOST /solar/calculate-savingsPOST /solar/system-sizingGET /solar/self-consumption-rateAnnual consumption
Usage timing patterns
Expected generation
Self-consumption rate
Export value
Annual savings
Payback period
OAuth 2.0 / CDR consent
Yes
Using actual usage data provides 90%+ accuracy vs 60-70% accuracy of generic calculations.
Interval data enables even more accurate self-consumption modeling based on hourly usage patterns.
Modeled based on when energy is consumed vs when solar generates (typically 30-50% self-consumption).
Yes, battery addition increases self-consumption rate and additional savings can be modeled.
Multiple system sizes can be compared to show optimal investment size.
Conservative assumptions (2-3% annual increase) used for long-term savings projections.
No, this provides savings modeling. Physical roof assessment still required for installation.
Energy Comparison
Recommend the best energy plan for each customer based on actual usage data. Show accurate savings and guide customers to optimal energy deals.
Energy Comparison
Determine the optimal tariff structure for each customer. Identify whether flat rate, time-of-use, or demand tariffs provide the best value.
Solar Providers
Recommend the right solar system size for each customer. Optimize system capacity based on actual consumption patterns for maximum ROI.
Join hundreds of companies using Fiskil to power their solar providers applications. Get started today with our developer-friendly API.
Products
© Fiskil 2026. All rights reserved.