Access to reliable energy is crucial for development, yet many rural areas in southern Bangladesh suffer from electricity shortages, impeding essential services and hindering social economic progress. This paper proposes integrating renewable energy-based microgrids provide sustainable electricity, thereby improving living conditions boosting growth. A detailed survey Ruma, Bandarban, was conducted load estimation. Simulation results on-grid off-grid are obtained using HOMER Pro PVsyst...

Location information is the most crucial used in context-aware applications, e-commerce and IoT-based consumer applications. Traditional methods doesn't focus on network coverage, accuracy, hardware cost, noise dense environment. To defeat these issues, this paper presents a novel localization algorithm for UWB nodes adopting self-calibration ToA measurement The Link quality induction values are instead of RSSI distance estimation by costing technique. A calibration factor (CF) further...

In the past few decades, transmission of data over an unsecure channel has resulted in increased rate hacking. The requirement to make multimedia more secure is increasing day by day. Numerous algorithms have been developed improve efficiency and robustness encryption process. this article, a novel image algorithm presented. It based on modified chaotic logistic map (CLM) that provides advantage taking less computational time encrypt input image. Shannon’s idea using substitution–permutation...

This study explores the forecasting accuracy of SARIMAX, LSTM, and XGBoost models in predicting solar PV output using one-year data from three installations Philippines. The research aims to compare performance these with their hybrid counterparts investigate performance. utilizes adjusted shortwave radiation (SWR) product Advanced Himawari Imager 8 (AHI-8), as a proxy for situ irradiance, weather parameters, improve models. results show that SARIMAX outperforms XGBoost, combinations Plants...

This study proposes a modified gaps filling method, expanding the column mean imputation method and evaluated using randomly generated missing values comprising 5%, 10%, 15%, 20% of original data on power output. The XGBoost algorithm was implemented as forecasting model processed datasets two sources solar radiation data, namely, Shortwave Radiation (SWR) from Advanced Himawari Imager 8 (AHI-8) Surface Solar Downward (SSRD) ERA5 global reanalysis data. accuracy sets forecasted output Root...

Forecasting models are often constrained by data availability, and in forecasting solar photovoltaic (PV) output, the literature suggests that irradiance contributes most to PV output. The objective of this study is identify which between satellite-based reanalysis data, namely, short wave radiation (SWR) surface downward (SSRD), respectively, a better alternative situ output should latter become unavailable. Nine seasonal autoregressive integrated moving average with exogenous variables...

In the past few decades, transmission of data over an unsecure channel resulted in increased rate hacking. Therefore, requirement to make multimedia more secure is increasing day by day. Numerous algorithms are developed improve efficiency and robustness. this article, a novel image encryption algorithm presented. It based on modified chaotic logistic map (CLM) that provides advantage having less computational time encrypt input image. The Shannon’s idea using substitution-permutation...

Energy accessibility remains a critical determinant of development, yet many rural areas, particularly in southern Bangladesh, deal with electricity shortages, hindering essential services and socio-economic advancement. This paper examines the feasibility implementing renewable energy-powered microgrids to address these challenges, aiming provide sustainable reliable underserved communities, thereby elevating living standards, fostering economic progress, enhancing overall well-being. We...

Over the past few decades, there has been a continuous increase in public interest for solar energy as an alternative and cleaner source of energy. Therefore, it is not surprising that similar developing accurate models to forecast photovoltaic (PV) power production. Such vary depending on geographical location PV sites seasons considered. The Philippines yet have output forecasting model adapted country's local conditions. This study aims evaluate Seasonal Autoregressive Integrated Moving...

Abstract. The balance between food security and energy is a national issue of extreme importance. A more stable supply electricity could be achieved as solar farms expand but at the expense losing some prime agricultural lands which endangers availability sufficient produce. This study aims to use ANN-Cellular Automata (CA) via Geographic Information System (GIS) platform remote sensing (RS) data assess impact cropland transition other land use/land cover (LULC). Several remotely sensed were...

Outdoor performance of PV modules is considered site-specific and dependent on environmental factors. This study aims to evaluate the mono-Si poly-Si in Philippines. Two experiments were conducted simultaneously at Electrical Electronics Engineering Institute (EEEI) rooftop University Philippines Diliman. Experiments compare relative energy outdoor conditions, investigate effect irradiance, module temperature, dust accumulation surface its production, respectively. In terms performance, has...

Abstract. The SINAG Web Portal, a web-based GIS platform that hosts spatial data and forecasting model for solar PV installation assessment, serves as repository the products outputs of SolarPot OutSolar components research project called Solar Resource Installation Assessment Using Geospatial Technologies (SINAG). website was developed with frontend backend services which involved use content management system, database systems, cloud virtual machines, Linux operating programming languages,...

Abstract. The sustainable energy transition in the Philippines requires accurate forecasting of solar PV output to optimize efficiency and grid management. While existing studies have emphasized positive correlation between irradiance production, this study aims explore whether improves with inclusion weather data. This research conducts a comparative analysis relying solely on against integrating various parameters enhance forecasting. focuses three distinct locations (Pangasinan, Negros...

Abstract. Solar photovoltaic (PV) technology has been gaining popularity in the Philippines as an alternative source of sustainable energy. In such technology, module tilt angle and weather conditions are among system parameters that have substantial impacts on PV performance. Previous studies considered either angles or conditions, but not combined impact these two solar power output. The objective this study is to examine effects variables output systems Muntinlupa City, Philippines. Three...

Numerous simulation software programs have been developed in response to the increasing popularity of renewable energy sources, particularly photovoltaic (PV) solar energy, with aim making design, analysis, and optimization PV systems easier. This study presents a comprehensive evaluation five well known packages: SAM, PVsyst, HOMER, PVSOL, RETScreen assist users selecting most suitable tool for their needs. It highlights salient characteristics each program developers that created it....

Abstract. This paper presents a collaborative effort to develop localized solar photovoltaic (PV) power output (PPV) forecasting models for the Philippines using geospatial data. It underlines importance of energy in country and discusses opportunities challenges associated with PPV forecasting. Project SINAG, two-year research project, aimed PV through approach academic institutions, industries, government agencies. Actual data from 43 installations were analyzed alongside meteorological...