Optimum control strategies for short term load forecasting in smart grids
Nonlinearity in load profile and variations in demand due to error margin in short term load
forecasting cause power network overloading. The state of a power system is more severe …
forecasting cause power network overloading. The state of a power system is more severe …
Load forecasting through estimated parametrized based fuzzy inference system in smart grids
For optimal utilization of power generation resources, load forecasting plays a vital role in
balancing the load flow in a power distribution network. There are several drawbacks …
balancing the load flow in a power distribution network. There are several drawbacks …
Design of a fuzzy logic controller for short-term load forecasting with randomly varying load
Short-term load forecasting (STLF) is an integral component of energy management
systems. In this paper, fuzzy logic-based algorithm is used for short-term load forecasting …
systems. In this paper, fuzzy logic-based algorithm is used for short-term load forecasting …
Real-time energy management scheme for hybrid renewable energy systems in smart grid applications
A Mohamed, O Mohammed - Electric Power Systems Research, 2013 - Elsevier
In this paper, an effective algorithm for optimizing distribution system operation in a smart
grid, from cost and system stability points of view, was proposed. This proposed algorithm …
grid, from cost and system stability points of view, was proposed. This proposed algorithm …
Load forecasting, dynamic pricing and DSM in smart grid: A review
Load forecasting (LF) plays important role in planning and operation of power systems. It is
envisioned that future smart grids will utilize LF and dynamic pricing based techniques for …
envisioned that future smart grids will utilize LF and dynamic pricing based techniques for …
A fuzzy inference model for short-term load forecasting
This paper is concerned with the short-term load forecasting (STLF) in power system
operations. It provides load prediction for generation scheduling and unit commitment …
operations. It provides load prediction for generation scheduling and unit commitment …
A fuzzy inference model for short-term load forecasting
S Ahmadi, H Bevrani, H Jannaty - 2012 Second Iranian …, 2012 - ieeexplore.ieee.org
This paper is concerned with the short-term load forecasting (STLF) in power system
operations. It provides load prediction for generation scheduling and unit commitment …
operations. It provides load prediction for generation scheduling and unit commitment …
Fuzzy control algorithm for battery storage and demand side power management for economic operation of the smart grid system at Naresuan University, Thailand
K Mansiri, S Sukchai, C Sirisamphanwong - IEEE Access, 2018 - ieeexplore.ieee.org
This paper presents a fuzzy logic-based algorithm developed for battery storage power
management (BSPM) and demand side power management (DSPM) for the School of …
management (BSPM) and demand side power management (DSPM) for the School of …
Technical and economic resources management in smart grids using heuristic optimization methods
Intensive use of Distributed Generation (DG) represents a change in the paradigm of power
systems operation making small-scale energy generation and storage decision making …
systems operation making small-scale energy generation and storage decision making …
A fuzzy control for network overload alleviation
AN Udupa, GK Purushothama, K Parthasarathy… - International journal of …, 2001 - Elsevier
This paper presents a prototype of a fuzzy system for alleviation of network overloads in the
day-to-day operation of power systems. The control used for overload alleviation is real …
day-to-day operation of power systems. The control used for overload alleviation is real …