A5061489618- Hybrid Renewable Energy Systems
- Energy and Environment Impacts
- Smart Grid Energy Management
- Integrated Energy Systems Optimization
- Energy, Environment, and Transportation Policies
- Electric Vehicles and Infrastructure
- Global Energy and Sustainability Research
- Climate Change Policy and Economics
- Vehicle emissions and performance
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Advanced Battery Technologies Research
- Transportation Planning and Optimization
- Energy Load and Power Forecasting
- Traffic control and management
- Microgrid Control and Optimization
- Carbon Dioxide Capture Technologies
- Global Energy Security and Policy
- Heat Transfer and Optimization
- Air Quality and Health Impacts
- Electric and Hybrid Vehicle Technologies
- Photovoltaic System Optimization Techniques
- Solar Radiation and Photovoltaics
- Electric Power System Optimization
- Nanofluid Flow and Heat Transfer
- Environmental Impact and Sustainability
Kyushu University
2018-2025
Islamic Azad University, Ahvaz Branch
2022
Ion Exchange (India)
2021
Kyoto University
2013-2019
Advanced Energy (United States)
2019
Islamic Azad University, Science and Research Branch
2010-2016
Universitas Gadjah Mada
2016
Swiss German University
2016
IPB University
2016
University of Sistan and Baluchestan
2016
The emerging concept of smart buildings, which requires the incorporation sensors and big data (BD) utilizes artificial intelligence (AI), promises to usher in a new age urban energy efficiency. By using AI technologies consumption can be reduced through better control, improved reliability, automation. This paper is an in-depth review recent studies on application (AI) buildings building management system (BMS) demand response programs (DRPs). In addition elaborating principles applications...
Modern power grids face the challenge of increasing renewable energy penetration that is stochastic in nature and calls for accurate demand predictions to provide optimized supply. Hence, self-consumption through response households, local communities, micro-grids essential high prediction performance at lower levels aggregations achieve optimal performance. Although many recent studies have investigated both macro micro scale short-term load forecasting (STLF), a comprehensive investigation...
Sub-Saharan Africa (SSA) has the lowest energy access rates globally. The need for transformative sources ranging from solar off-grid and mini-grid solutions to hybrid micro-grid power systems rapidly grown deliver clean admittance. This research proposes a photovoltaic-wind turbine system coupled hybridized storage composed of Lithium-Ion battery flywheel which ensures reliability electrification rural less accessible remote areas Makueni County in Kenya. optimal size proposed Hybrid...
With buildings accounting for high electrical demand and GHG emissions in Japan, enabling higher penetration of hybrid renewable energy systems can significantly reduce their load demand. This paper proposes an efficient power control scheme design a standalone system installed on the roof building Kasuga-City, Japan. The proposed consists three PV modules with total (480 W), wind turbine (400 lead–acid battery (30 Ah), inverter, controllers. main purpose this research is to implement...
An adaptive cruise control (ACC) system is developed based on eco-driving for two typical car-following traffic scenes. The ACC designed using the model predictive (MPC) algorithm, to obtain objectives of eco-driving, driving safety, comfortability, and tracking capability. optimization comfortability minimization fuel consumption are realized in manner constraining acceleration value its variation rate, so-called jerk, host vehicle. safety guaranteed by restricting vehicle spacing always...
This study focuses on a technical and economic analysis of designing operating an off-grid hybrid renewable energy system (HRES) in rural community called Olooji, situated Ogun state, Nigeria, as case study. First, size optimization model is developed the basis novel metaheuristic particle swarm (PSO) technique to determine optimal configuration proposed minimization levelized cost electricity, by factoring local meteorological electricity load data details specification main components...
This paper aims at the optimal designing of a stand-alone microgrid (PV/wind/battery/diesel) system, which can be utilized to meet demand load requirements small residential area in Kasuga City, Fukuoka. The simulation part is developed estimate electrical power generated by each component, taking into account variation weather parameters, such as wind, solar irradiation, and ambient temperature. system design then based on Particle Swarm Optimization (PSO) method find configuration proposed...
This study presents the optimal design and operation of a proposed hybrid renewable energy system (HRES) for electrification residential building in rural areas Pakistan. The main contributions this are twofold. Firstly, it develops size optimization model based on particle swarm (PSO) technique to determine configuration two systems (HRES), including both grid-tied off-grid modes, integrating wind photovoltaic (PV) with battery storage. is determined by minimizing levelized cost...
This study aims to develop a mathematical modeling approach maximize the welfare of price-responsive customers (CUs) in wholesale electricity market Tokyo, Japan. The contributions made by this paper quest determine role CUs demand response are twofold. First, aversion risk choosing Demand Response Programs (DPRs) is taken into account considering their expected utility from consuming electricity. proposed model founded on customer theory microeconomics, using concept function behavior...
Abstract This study aims to comprehensively develop a modeling framework evaluate the dynamic performance of photovoltaic/thermal (PV/T) system integrated with hybrid off-grid microgrid. The advancements made by this research in investigating optimal design PV/T and assessment proposed microgrid are twofold. First, nonlinear mathematical problem is formulated determine that maximizes power, taking into account thermo-electrical constraints. Secondly, highlights development component mask...