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Applied Sciences, Vol. 16, Pages 8725: Intelligent Forecasting of Smart Home Energy Consumption and Generation Based on Weather Variables
1+ week, 4+ day ago (482+ words) The growing adoption of artificial intelligence (AI) aims to improve global standards of living. However, this trend is accompanied by an increasing demand for energy. AI is rapidly integrating into home energy management systems (HEMS). While numerous artificial neural network…...
Applied Sciences, Vol. 16, Pages 8682: Co-Optimization of Revenue and Communication for Virtual Power Plants via Renewable Energy Forecasting and Time-Segmented Access
1+ week, 5+ day ago (359+ words) Integrating distributed energy resources (DERs) via Virtual Power Plants (VPPs) faces challenges like renewable intermittency, communication scheduling uncertainties, and high data collection costs. While existing studies often overlook practical implementation efficiency, this paper proposes a VPP scheduling framework integrated with…...
Applied Sciences, Vol. 16, Pages 8998: Information Sources and Incremental Value in Short-Horizon Prediction of a Multimodal Driving Index in Extra-Long Tunnels
2+ day, 19+ hour ago (431+ words) Predicting driver-state evolution in extra-long tunnel corridors remains challenging because of prolonged spatial confinement and repeated lighting transitions. This study uses a statistical human–vehicle composite, the comprehensive driving index (CDI), as a reproducible quantitative target for predictive auditing. In…...
Applied Sciences, Vol. 16, Pages 8495: Short-Term Electricity Consumption Forecasting for a University Campus: A Hybrid SWT–Frequency Attention–TCN Approach
2+ week, 3+ day ago (552+ words) This study proposes a hybrid deep learning model based on the Stationary Wavelet Transform (SWT), a Frequency Attention mechanism, and a Temporal Convolutional Network architecture (TCN) for short-term electricity consumption forecasting at the university campus scale. The study utilizes a…...
Applied Sciences, Vol. 16, Pages 8675: Hardware-in-the-Loop Simulation of a Multilevel B2B-NPC with Weightless MPC Driving an Induction Motor
1+ week, 5+ day ago (504+ words) On model predictive control, the weighting factors are often challenging to tune, which usually relies on trial-and-error methods. To bypass this inconvenience, this paper enhances a previously proposed weightless method applied to Finite Control Set Model Predictive Control (FCS-MPC). An…...
Applied Sciences, Vol. 16, Pages 8359: Natural-Soiling Effects and Multi-Horizon Thermoelectric Forecasting of a Fresnel HCPV/T System in a Sandy Environment
3+ week, 1+ day ago (375+ words) Fresnel high-concentration photovoltaic/thermal (HCPV/T) systems operating in sandy environments are susceptible to natural lens soiling, which attenuates the effective concentrated solar input and alters electrical and thermal performance. Natural-soiling comparison tests were conducted over 0–28 d, and an SD-CNN-BiLSTM-Attention model…...
Applied Sciences, Vol. 16, Pages 8270: Joint Forecasting of Daily Energy and Peak Demand for Bimodal Industrial Loads: A Metering-Only Two-Stage Framework
3+ week, 3+ day ago (525+ words) Industrial tariffs and demand-response (DR) programs pay for two quantities—daily energy and daily peak demand—yet short-term forecasting research addresses mostly the first, and rarely under the constraints of small industrial sites: strongly bimodal operation and only one to…...
Applied Sciences, Vol. 16, Pages 8408: Model Test on Thermo-Mechanical Behavior of Pure Friction Piles Under Cyclic Temperature
2+ week, 6+ day ago (477+ words) Frictional energy piles are a more desirable form of shallow geothermal energy utilization. A pure friction pile condition cannot be achieved in field tests. In this study, foam was placed beneath the model pile tip to weaken the end-bearing resistance....
Applied Sciences, Vol. 16, Pages 8786: A Hybrid Anomaly-Filtered Spatio-Temporal Framework for Robust Energy Demand Forecasting in Solar-Integrated Smart Grids
1+ week, 2+ day ago (548+ words) The study introduces the Hybrid Anomaly-Filtered Spatio-Temporal Representation Network (HASTRN) to achieve accurate forecasting of short-term and day-ahead energy demand by utilizing smart-meter, solar PV, and weather-integrated data. Energy demand forecasting in residential buildings has become increasingly difficult due to…...
Applied Sciences, Vol. 16, Pages 8610: Digital Twin-Based Non-Invasive Parameter Tuning of Production Adaptive Cruise Control for Eco-Driving Using Real-World OBD Telematics
2+ week, 1+ day ago (454+ words) This study presents a data-driven Digital Twin framework designed for the non-invasive parameter optimization of closed-loop, factory-installed Adaptive Cruise Control (ACC) systems for eco-driving without modifying electronic control unit (ECU) firmware or requiring external infrastructure. High-frequency telematics data (OBD-II and…...