id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ejpam-6539	Kalpana, K. ; Kavitha, G.	Hybrid Power Market Forecasting Using an3 Interval-Valued Hidden Markov and Fuzzy Relational4 Particle Swarm Optimization Model	2025	42	.pdf	application/pdf	12234	600	52	Overall, the iHMMF-RPSO framework delivers an accurate, interpretable, and compu- tationally efficient solution for electricity market forecasting, validated on real IEX market data across both Day-Ahead Market (DAM) and Real-Time Market (RTM) scenarios. Application in Time-Series Modeling and Energy Markets In electricity market forecasting, Hidden Markov Models (HMMs) are well-suited for capturing temporal dependencies and regime-switching behavior in prices and volumes.	cache/ejpam-6539.pdf	txt/ejpam-6539.txt