With the growth of forecasting models, energy forecasting is used for better planning,
operation, and management in the electric grid. It is important to improve the accuracy of …

Deep learning (DL)-based PV Power Forecasting (PVPF) emerged nowadays as a
promising research direction to intelligentize energy systems. With the massive smart meter …

The randomness of the wind speed leads to the intermittency of wind power, which is a
challenge to realize wind power energy as reliable and renewable power. The prediction of …

Abstract Securing Big Data has become one of the major issues of the exponentially pacing
computing world, where data analysis plays an integral role, as it helps data analysts to …

How has digital transformation changed airport ground operations? Although the relevant
peer-reviewed literature emphasizes the role of cost savings as a key driver behind …

Using recent information and communication technologies for monitoring and management
initiates a revolution in the smart grid. These technologies generate massive data that can …

Bi-directional information and energy flow, renewable energy sources, battery energy
storage, electric vehicle, self-healing capability, and demand response programs, etc …

This chapter delves into the realm of “Big Data and Analytics in Smart Grid”, focusing
specifically on the domain of forecasting energy consumption in educational institution …

Energy is one of the key factors for a country's economic and social growth. Bangladesh is
constantly seeking sustainable energy sources for securing its increasing energy demand …

We observe every day a world more complex, uncertain, and riskier than the world of
yesterday. Consequently, having accurate forecasts in economics, finance, energy, health …