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def estimate_cycle_costs(price_signals, nominal_power=2, usable_capacity=4, efficiency=0.9, target_average_cycles=1.5, max_cycles_per_day=2.5): total_cycle_costs = 0 total_cycles = 0 for price in price_signals: max_energy = nominal_power * efficiency energy_price = price * max_energy cycles_for_hour = max(0, min(max_energy / usable_capacity, max_cycles_per_day - total_cycles)) total_cycles += cycles_for_hour total_cycle_costs += cycles_for_hour * energy_price average_cycles = total_cycles / len(price_signals) required_cycle_costs = (target_average_cycles * len(price_signals) * usable_capacity) / efficiency return total_cycle_costs, average_cycles, required_cycle_costs # Example usage: price_signals = [ 6, 4, 4, 6, 4, 4, 5, 6, 4, 4, 5, 7, 3, 2, 3, 1, 2, 4, 5, 2, 4, 6, 9, 2, 4, 3, 6, 2, 4, 4, 6, 5, 5, 6, 7, 6, 5, 6, 8, 5, 6, 6, 6, 7, 6, 6, 6, 4, 4, 6, 7, 4, 6, 8, 1, 6, 7, 8, 9, 7, 8, 9, 0, 7, 0, 1, 0, 1, 9, 1, 8, 1, 9, 9, 7, 1, 9, 8, 5, 1, 7, 7, 6, 1, 7, 9, 4, 8, 6, 6, 3, 8, 2, 6, 6, 4 ] total_costs, avg_cycles, required_costs = estimate_cycle_costs(price_signals) print(f"Total Cycle Costs: {total_costs}") print(f"Average Cycles: {avg_cycles}") print(f"Required Cycle Costs for Target Average Cycles: {required_costs}")