Energy consumption prediction for electric tugboats using GA-BiLSTM and adaptive operational mode recognition

Key Points

• Energy consumption predictions were made for electric tugboats, likely improving operational insights.
• Using a GA-BiLSTM algorithm, predictions were calculated employing advanced data processing techniques.
• The methodology involved adaptive operational mode recognition to enhance prediction accuracy for tugboats.
• Implications suggest that improved energy management strategies may lead to cost efficiencies and emissions reductions.