{"product_id":"jain-pooja-energybidsim-ai-powered-price-forecasting-for-day-ahead-markets-9786208447557","title":"EnergyBidSim: AI-Powered Price Forecasting for Day-Ahead Markets","description":"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.","brand":"LAP LAMBERT Academic Publishing","offers":[{"title":"Default Title","offer_id":53769213804886,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0925\/5829\/5382\/files\/product_image_9786208447557_1.jpg?v=1781804773","url":"https:\/\/www.momoxbooks.com\/products\/jain-pooja-energybidsim-ai-powered-price-forecasting-for-day-ahead-markets-9786208447557","provider":"momoxbooks","version":"1.0","type":"link"}