Microhydro Power Plants with IoT-based Monitoring and Prediction using Linear Regression

Microhydro Power Plant (PLTMH) is a small-scale, environmentally friendly power generation facility that harnesses hydropower from waterfalls, rivers, or irrigation canals by converting the potential and kinetic energy of water into rotational energy using turbines. The turbines, located in the powerhouse below the reservoir, play a crucial role in generating electrical energy. However, the conventional focus on calculating initial potential overlooks the significance of continuous monitoring. To address this limitation, this study proposes an innovative approach using IoT-based microcontroller tools, connected via the internet and smartphones through Blynk, to monitor weather conditions and water levels in real-time. By analyzing temperature, humidity, and raindrops alongside estimated power output, the study achieved a strong relationship (Multiple R of 0.86646562116272 and R-square of 0.750762672656899), demonstrating the tools’ effectiveness in optimizing power generation at PLTMH and advancing sustainable energy practices.