Renewable energy: Present research and future scope of Artificial Intelligence

SK Jha, J Bilalovic, A Jha, N Patel, H Zhang - Renewable and Sustainable …, 2017 - Elsevier
The existence of sunlight, air and other resources on earth must be used in an appropriate
way for human welfare while still protecting the environment and its living creatures. The …

Integration of storage and renewable energy into district heating systems: A review of modelling and optimization

D Olsthoorn, F Haghighat, PA Mirzaei - Solar Energy, 2016 - Elsevier
The building and infrastructure sector is accountable for 46% of the total worldwide energy
consumption. Most traditional energy sources such as coal or petroleum are among the non …

Predicting hourly heating load in a district heating system based on a hybrid CNN-LSTM model

J Song, L Zhang, G Xue, YP Ma, S Gao, QL Jiang - Energy and Buildings, 2021 - Elsevier
Heat loads change dynamically with meteorological conditions and user demand, and the
related accurate prediction algorithms are conducive to the realization of optimized …

A review of district heating systems: modeling and optimization

B Talebi, PA Mirzaei, A Bastani… - Frontiers in Built …, 2016 - frontiersin.org
The ever-increasing demand for heating in different sectors, along with more preventative
regulations on greenhouse emissions, has forced different countries to seek new …

Modeling of district load forecasting for distributed energy system

W Ma, S Fang, G Liu, R Zhou - Applied Energy, 2017 - Elsevier
Distributed energy system (DES) has successfully aroused increasing interests among
energy policy makers and system designers, as its potential of replacing conventional …

Comparative study of multiple linear regression (MLR) and artificial neural network (ANN) techniques to model a solid desiccant wheel

KN Çerçi, E Hürdoğan - International communications in heat and mass …, 2020 - Elsevier
In recent years, the use of solid desiccant wheels has become attractive not only for air-
conditioning applications, but also for food drying processes and storage due to their …

An original tool for checking energy performance and certification of buildings by means of Artificial Neural Networks

C Buratti, M Barbanera, D Palladino - Applied Energy, 2014 - Elsevier
Abstract The Energy Performance Buildings Directive (EPBD) was issued to provide a
common strategy for all European countries and to implement several actions for improving …

Heat load prediction in district heating systems with adaptive neuro-fuzzy method

S Shamshirband, D Petković, R Enayatifar… - … and Sustainable Energy …, 2015 - Elsevier
District heating systems can play significant role in achieving stringent targets for CO 2
emissions with concurrent increase in fuel efficiency. However, there are a lot of the …

A review of modelling and optimisation techniques for district heating systems

I Sarbu, M Mirza, E Crasmareanu - International journal of …, 2019 - Wiley Online Library
This article provides an extensive survey on the modelling and optimisation of district
heating systems (DHSs) focused on the heat distribution network. For this purpose, the …

Development of PID based control strategy in maximum exergy efficiency of a geothermal power plant

G Çetin, O Özkaraca, A Keçebaş - Renewable and Sustainable Energy …, 2021 - Elsevier
The control strategy insures the efficiency, increased production and safety in new and
complicated energy conversion systems. To this end, a thermodynamic model that simulates …