It is important to understand and forecast a typical or a particularly household daily consumption in order to design and size suitable renewable energy systems and energy storage. In this research for Short Term Load Forecasting (STLF) it has been used Artificial Neural Networks (ANN) and, despite the consumption unpredictability, it has been shown the possibility to forecast the electricity c...

Abstract—We regard forecasting of energy consumption by private production areas of a large industrial facility as well as by the facility itself. As for production areas, the forecast is made based on empirical dependencies of the specific energy consumption and the production output. As for the facility itself, implementation of the task to minimize the energy consumption forecasting error is...

the natural gas consumption in iran has been continuously increasing due to several reasons including low prices of natural gas, development of gas supply networks, people’s salary increase, incorrect consumption culture and the increase of national economy growth.  although, the global natural gas consumption has increased by 38% since 2001, the national consumption in iran has increased by 11...

the request for natural gas attention to its adaption with environment and less pollution than the other fossil fuels has the highest growth in last decades. in result this energy has high geopolitical importance. iran with has about 2.18 percent of total world reserves, the largest in the world. but couldn't played important role in the natural gas geopolitics and even it hasn't in b...

Time series forecasting is an important tool, which is used to support the areas of planning for both individual and organizational decisions. This problem consists of forecasting future data based on past and/or present data. This paper deals with the problem of time series forecasting from a given set of input/output data. We present a hybrid approach for time series forecasting using Radial ...

knowledge of energyconsumption has many uses in industry. factors that are energy dependent have already been studied hence decision making on them are easier. energy demand studies of industry helps us to learn factors that are responsive to this demand. therefore planners can use these collected data in their decision making using the above factors. another use of energy demand can be used as...

As the impact of Russia-Ukraine war continues to expand, energy shortages appear in Europe. After Russia cut off Nord Stream 1 pipeline that transported natural gas Europe, most European countries experienced a crisis, severely affecting Germany. In order effectively predict consumption gas, this paper combines Least Absolute Shrinkage and Select Operator model with Whale Optimization Algorithm...