Shintaro Ikeda 
- (2022): Experimental analysis of artificial intelligence-based model predictive control for thermal energy storage under different cooling load conditions. Dans: Sustainable Cities and Society, v. 79 (avril 2022).
- (2016): Optimal operation of energy systems including energy storage equipment under different connections and electricity prices. Dans: Sustainable Cities and Society, v. 21 (février 2016).
- (2019): Artificial neural network prediction models of stratified thermal energy storage system and borehole heat exchanger for model predictive control. Dans: Science and Technology for the Built Environment, v. 25, n. 5 (28 mai 2019).
- (2015): A review on optimization techniques for active thermal energy storage control. Dans: Energy and Buildings, v. 106 (novembre 2015).
- (2016): A new optimization strategy for the operating schedule of energy systems under uncertainty of renewable energy sources and demand changes. Dans: Energy and Buildings, v. 125 (août 2016).
- (2020): Model predictive control of building energy systems with thermal energy storage in response to occupancy variations and time-variant electricity prices. Dans: Energy and Buildings, v. 225 (octobre 2020).
- (2020): Development of distributed multiple‐source and multiple‐use heat pump system using renewable energy: Outline of test building and experimental evaluation of cooling and heating performance. Dans: Japan Architectural Review, v. 4, n. 1 (août 2020).
- (2018): Development of an optimization method for a heat source and a chart for operational design using a genetic algorithm and Lagrange multiplier. Dans: Japan Architectural Review, v. 1, n. 2 (avril 2018).
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