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20022026
most citedAn Experimental Review on Deep Learning Architectures for Time Series Forecasting

529 citations

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38 papers · 1 filter

eess.SY2026

Complex-Vector Power and Cross-Phase Unbalance in Three-Phase Systems

Juan Carlos Bravo-Rodríguez, Juan Carlos del-Pino-López, Francisco Casado-Machado

Unbalanced three-phase systems still lack a compact phasor-domain representation of power that makes the joint cross-phase voltage-current structure explicit while remaining consis…

eess.SY2026

Accelerated kriging interpolation for real-time grid frequency forecasting

Carlos Moreno-Blazquez, Filiberto Fele, Teodoro Alamo

The integration of renewable energy sources and distributed generation in the power system calls for fast and reliable predictions of grid dynamics to achieve efficient control and…

eess.SY20257 cited

Power feedback strategy based on efficiency trajectory analysis for HCPV sun tracking

Manuel G. Satué, Fernando Castaño, Manuel G. Ortega +1

This paper presents a control strategy for sun trackers which adapts continuously to different sources of error, avoiding the necessity of any kind of calibration by analyzing the…

eess.SY202515 cited

Economic versus energetic model predictive control of a cold production plant with thermal energy storage

Manuel G. Satué, Manuel R. Arahal, Luis F. Acedo +1

Economic model predictive control has been proposed as a means for solving the unit loading and unit allocation problem in multi-chiller cooling plants. The adjective economic stem…

eess.SY20256 cited

Optimal chiller loading including transients

Manuel R. Arahal, Manuel G. Satué, Manuel G. Ortega

Scheduling and loading of chillers in a multi-chiller plant is considered. A new framework is introduced considering an extended set of independent variables for the optimization p…

eess.SY20253 cited

Distributed equilibrium seeking in aggregative games: linear convergence under singular perturbations lens

Guido Carnevale, Filippo Fabiani, Filiberto Fele +2

We present a fully-distributed algorithm for Nash equilibrium seeking in aggregative games over networks. The proposed scheme endows each agent with a gradient-based scheme equippe…