Some Integral Inequalities for Log-h-Convex Interval-Valued Functions. - Yuanyuan Guo; Guoju Ye; Dafang Zhao; Wei Liu 088 (IEEE Access, 2019)

Some inequalities for interval-valued functions on time scales. - Dafang Zhao; Guoju Ye; Wei Liu 088; Delfim F. M. Torres (Soft Comput., 2019)

gH-Symmetrically Derivative of Interval-Valued Functions and Applications in Interval-Valued Optimization. - Yating Guo; Guoju Ye; Dafang Zhao; Wei Liu 088 (Symmetry, 2019)

Chebyshev type inequalities for interval-valued functions. - Dafang Zhao; Tianqing An; Guoju Ye; Wei Liu 088 (Fuzzy Sets Syst., 2020)

Online management framework for building HVAC systems considering peak shaving and thermal comfort: an experimental study. - Dafang Zhao; Daichi Watari; Yuki Ozawa; Ittetsu Taniguchi; Toshihiro Suzuki; Sumio Shiochi; Yoshiyuki Shimoda; Takao Onoye (MSCPES@CPSIoTWeek, 2021)

A Low-cost Privacy Concerning Occupancy Estimation System for HVAC Control. - Dafang Zhao; Ittetsu Taniguchi; Takao Onoye (ICEIC, 2022)

Scheduling for Multiple HVAC Systems with Electrical Power Allocation. - Kenshiro Kato; Daichi Watari; Dafang Zhao; Hiroki Nishikawa; Ittetsu Taniguchi; Takao Onoye (GCCE, 2022)

An Evaluation of Electricity Demand Forecasting Models for Smart Energy Management Systems. - Naoya Kaneko; Koki Iwabuchi; Kenshiro Kato; Daichi Watari; Dafang Zhao; Ittetsu Taniguchi; Hiroki Nishikawa; Takao Onoye (ISOCC, 2022)

Some generalizations of Opial type inequalities for interval-valued functions. - Dafang Zhao; Tianqing An; Guoju Ye; Wei Liu 088 (Fuzzy Sets Syst., 2022)

A Thermal Comfort and Peak Power Demand Aware VRF Heating/Cooling Management Framework: Simulation and On-site Experiment. - Dafang Zhao; Daichi Watari; Yuki Ozawa; Ittetsu Taniguchi; Toshihiro Suzuki; Yoshiyuki Shimoda; Takao Onoye (J. Inf. Process., 2022)

Exploring Models of Electricity Price Forecasting: Case Study on A FCAS Market. - Kenshiro Kato; Koki Iwabuchi; Daichi Watari; Dafang Zhao; Hiroki Nishikawa; Ittetsu Taniguchi; Takao Onoye (e-Energy (Companion), 2023)

Exploring of Recursive Model-based Non-Intrusive Thermal Load Monitoring for Building Cooling Load. - Kazuki Okazawa; Naoya Kaneko; Dafang Zhao; Hiroki Nishikawa; Ittetsu Taniguchi; Takao Onoye (e-Energy (Companion), 2023)

Individual-Driven Spiking-Mixer Deep Learning Model for IRS-Assisted mmWave Systems Beam Training. - Taisei Urakami; Haohui Jia; Dafang Zhao; Na Chen 004; Minoru Okada (GCCE, 2023)

Utilizing Contrastive Predictive Coding for the Detection of Epilepsy in EEG Data. - Zihang Wang; Guangxian Zhu; Haohui Jia; Kenta T. Suzuki; Dafang Zhao; Naoaki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (GCCE, 2023)

RNN-based Non-Intrusive Thermal Load Disaggregation and Forecasting for HVAC Systems. - Naoya Kaneko; Kazuki Okazawa; Dafang Zhao; Hiroki Nishikawa; Ittetsu Taniguchi; Takao Onoye (BuildSys, 2023)

Comfort-aware HVAC Aggregation Method based on Deep Reinforcement Learning. - Shotaro Nonaka; Ittetsu Taniguchi; Hiroki Nishikawa; Dafang Zhao; Francky Catthoor; Takao Onoye (BuildSys, 2023)

Data-driven HVAC Control Using Symbolic Regression: Design and Implementation. - Yuki Ozawa; Dafang Zhao; Daichi Watari; Ittetsu Taniguchi; Toshihiro Suzuki; Yoshiyuki Shimoda; Takao Onoye (CoRR, 2023)

An interval rough number variable precision rough sets model and its attribute reduction. - Wei Liu 088; Qihan Liu; Guoju Ye; Dafang Zhao; Yating Guo; Fangfang Shi (J. Intell. Fuzzy Syst., 2023)

A class of nonconvex fuzzy optimization problems under granular differentiability concept. - Fangfang Shi; Guoju Ye; Wei Liu 088; Dafang Zhao (Math. Comput. Simul., 2023)

On preinvex interval-valued functions and unconstrained interval-valued optimization problems. - Fangfang Shi; Guoju Ye; Wei Liu 088; Dafang Zhao (RAIRO Oper. Res., 2023)

Hermite-Hadamard-type Inequalities for $ hbar$-preinvex Interval-Valued Functions via Fractional Integral. - Yun Tan; Dafang Zhao; Mehmet Zeki Sarikaya (Int. J. Comput. Intell. Syst., 2023)

Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning. - Yang Deng 004; Yaohui Liu; Rui Liang; Donghua Xie; Dafang Zhao; Ittetsu Taniguchi; Samson Tai; Dan Wang 002 (BuildSys, 2024)

Comfort-Aware HVAC Aggregation for Enhancing Demand-Side Flexibility: Insights from an On-Site Experiment. - Harrison Malfait; Dafang Zhao; Hiroki Nishikawa; Ittetsu Taniguchi; Toshihiro Suzuki; Takao Onoye (BuildSys, 2024)

Model Predictive Control based Scheduling for an Electric Heat Pump Water Heating System via Photovoltaics. - Shuhei Mitsunaga; Dafang Zhao; Hiroki Nishikawa; Ittetsu Taniguchi; Takao Onoye (BuildSys, 2024)

Indoor Temperature Prediction for HVAC Energy Management using Smart Remote Controller. - Ren Sasaki; Kenshiro Kato; Dafang Zhao; Hiroki Nishikawa; Ittetsu Taniguchi; Takao Onoye (BuildSys, 2024)

Extending Multi-time Scale Energy Management System to Support Wind Power Generation. - Shuhei Mitsunaga; Dafang Zhao; Hiroki Nishikawa; Ittetsu Taniguchi; Takao Onoye (e-Energy, 2024)

Thermal Comfort-aware Aggregation via Multi-HVAC Systems for Demand-side Flexibility. - Ren Sasaki; Shotaro Nonaka; Dafang Zhao; Hiroki Nishikawa; Ittetsu Taniguchi; Takao Onoye (e-Energy, 2024)

Optimizing VRF System Operation for Energy Efficiency under Power Constraints: On-Site Experiment. - Theint Theint Thu; Harrison Malfait; Kenshiro Kato; Dafang Zhao; Hiroki Nishikawa; Ittetsu Taniguchi; Takao Onoye (e-Energy, 2024)

Improving Building Temperature Forecasting: A Data-driven Approach with System Scenario Clustering. - Dafang Zhao; Zheng Chen; Zhengmao Li; Xiaolei Yuan; Ittetsu Taniguchi (CoRR, 2024)

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids. - Dafang Zhao; Xihao Piao; Zheng Chen; Zhengmao Li; Ittetsu Taniguchi (CoRR, 2024)

Optimality conditions for nonsmooth fuzzy optimization models under the gH-weak subdifferentiability. - Fangfang Shi; Guoju Ye; Wei Liu 088; Dafang Zhao (Comput. Appl. Math., 2024)

Lagrangian dual theory and stability analysis for fuzzy optimization problems. - Fangfang Shi; Guoju Ye; Wei Liu 088; Dafang Zhao; Savin Treanta (Inf. Sci., 2024)

Ramp Rate Control for PV Systems Using Solar Irradiance Forecasting with Wavelet Transform and LSTM. - Koki Iwabuchi; Dafang Zhao; Ittetsu Taniguchi; Francky Catthoor; Takao Onoye (e-Energy, 2025)

Multi-Time Scale Energy Management for Efficient Residential Energy Use with Electric Water Heaters. - Shuhei Mitsunaga; Dafang Zhao; Hiroki Nishikawa; Ittetsu Taniguchi; Takao Onoye (e-Energy, 2025)

A Deep Reinforcement Learning- and Linear Programming-based Hierarchical Aggregation Framework for Demand-side Flexibility. - Ren Sasaki; Dafang Zhao; Hiroki Nishikawa; Ittetsu Taniguchi; Takao Onoye (e-Energy, 2025)

ReeM: Ensemble Building Thermodynamics Model for Efficient HVAC Control via Hierarchical Reinforcement Learning. - Yang Deng 004; Yaohui Liu; Rui Liang; Dafang Zhao; Donghua Xie; Ittetsu Taniguchi; Dan Wang 002 (CoRR, 2025)