Optimal Lighting Control in Greenhouses Using Bayesian Neural Networks for Sunlight Prediction

05/07/2022
by   Shirin Afzali, et al.
0

Controlling the environmental parameters, including light in greenhouses, increases the crop yield; however, the electricity cost of supplemental lighting can be high. Therefore, the importance of applying cost-effective lighting methods arises. In this paper, an optimal supplemental lighting control approach is developed considering a variational inference Bayesian Neural Network (BNN) model for sunlight prediction. The predictive model is validated through testing the model on the historical solar data of a site located at North Carolina (R^2=0.9971, RMSE=1.8 approach is shown to minimize electricity cost by considering the BNN-based sunlight prediction, plant light needs, and variable electricity pricing when solving the underlying optimization problem. For evaluation, the new strategy is compared to: 1) a Markov-based prediction method, which solves the same optimization problem, assuming a Markov model for sunlight prediction; 2) a heuristic method which aims to supply a fixed amount of light. Simulation studies are conducted to examine the electricity cost improvements of the BNN-based approach. The results show that the BNN-based approach reduces cost by (on average) 2.27 and the heuristic method, respectively, throughout a year.

READ FULL TEXT
research
05/28/2020

Optimizing carbon tax for decentralized electricity markets using an agent-based model

Averting the effects of anthropogenic climate change requires a transiti...
research
10/26/2022

IoT-based Efficient Streetlight Controlling, Monitoring and Real-time Error Detection System in Major Bangladeshi Cities

A huge wastage of electricity can be seen in Bangladesh due to improper ...
research
02/24/2023

Signalling for Electricity Demand Response: When is Truth Telling Optimal?

Utilities and transmission system operators (TSO) around the world imple...
research
06/15/2020

Reducing the total cost of ownership in radio access networks by using renewable energy resources

Increasing electricity prices motivates the mobile network operators to ...
research
11/07/2022

Decarbonizing Indian Electricity Grid

India, being one of the fastest growing economies of the world, must tak...
research
06/11/2018

Learning to Estimate Indoor Lighting from 3D Objects

In this work, we propose a step towards a more accurate prediction of th...
research
07/19/2019

LightGuider: Guiding Interactive Lighting Design using Suggestions, Provenance, and Quality Visualization

LightGuider is a novel guidance-based approach to interactive lighting d...

Please sign up or login with your details

Forgot password? Click here to reset