EnergyBidSim: AI-Powered Price Forecasting for Day-Ahead Markets

Pooja Jain (u. a.)

ISBN 10: 6208447550 / ISBN 13: 9786208447557

Verlag: LAP LAMBERT Academic Publishing, 2025

EnergyBidSim: AI-Powered Price Forecasting for Day-Ahead Markets | Pooja Jain (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208447557 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 134204776

Inhaltsangabe:

This book presents advanced meta-heuristic algorithms and a Multi-Agent System (MAS) for intelligent bidding in the restructured day-ahead energy market. Enhanced versions of Moth Flame Optimizer (OB-MFO), Firefly Algorithm (RFA), and a hybrid WOA-SCA are proposed using opposition-based learning and adaptive techniques, showing superior performance on benchmark tests. These algorithms are applied to market bidding scenarios under uncertainty, evaluated using metrics like price volatility and market power. A layered MAS framework is also introduced, enabling dynamic decision-making with incomplete data. Results on test systems, including IEEE-14 bus, show improved accuracy and efficiency over traditional methods.

Über die Autorin bzw. den Autor: Dr. Pooja Jain and Dr. Ankush Tandon are Associate Professors at Swami Keshvanand Institute of Technology, Jaipur. Dr. Jain specializes in intelligent bidding, optimization, and multi-agent systems, with several publications and patents. Dr. Tandon focuses on power system optimization and distributed generation.

Bibliografische Details

Titel: EnergyBidSim: AI-Powered Price Forecasting ...
Verlag: LAP LAMBERT Academic Publishing
Erscheinungsdatum: 2025
Einband: Taschenbuch
Zustand: Neu