EasterBlack-owned or founded brands at TargetGroceryClothing, Shoes & AccessoriesBabyHomeFurnitureKitchen & DiningOutdoor Living & GardenToysElectronicsVideo GamesMovies, Music & BooksSports & OutdoorsBeautyPersonal CareHealthPetsHousehold EssentialsArts, Crafts & SewingSchool & Office SuppliesParty SuppliesLuggageGift IdeasGift CardsClearanceTarget New ArrivalsTarget Finds#TargetStyleTop DealsTarget Circle DealsWeekly AdShop Order PickupShop Same Day DeliveryRegistryRedCardTarget CircleFind Stores

Ai-Based Forecasting of Solar Photovoltaics Power Generation - (Energy Engineering) by Elham Shirazi & Wilfried Van Sark (Hardcover)

Ai-Based Forecasting of Solar Photovoltaics Power Generation - (Energy Engineering) by  Elham Shirazi & Wilfried Van Sark (Hardcover) - 1 of 1
$150.00 when purchased online
Target Online store #3991

About this item

Highlights

  • Photovoltaic energy generators large and small exhibit intermittency, making it hard to predict production to ensure grid power quality.
  • Author(s): Elham Shirazi & Wilfried Van Sark
  • 312 Pages
  • Technology, Power Resources
  • Series Name: Energy Engineering

Description



About the Book



This book conveys approaches for using AI for improved PV forecasting, which is imperative in increasing the share of clean power to achieve decarbonisation of the energy system. Chapters cover machine and deep learning, evaluation, grid integration and case studies.



Book Synopsis



Photovoltaic energy generators large and small exhibit intermittency, making it hard to predict production to ensure grid power quality. Artificial intelligence (AI) and machine learning (ML) offer means to improve PV forecasting based on data from existing systems, weather forecast data, and other information. The ability to forecast PV generation is crucial for grid management, energy trading, and efficient energy utilization.

AI-Based Forecasting of Solar Photovoltaics Power Generation blends theoretical knowledge with practical case studies, and covers both traditional and advanced deep learning techniques, and the intricacies of AI algorithms. Chapters cover data collection and processing, solar forecasting based on statistical time-series, machine and deep learning, hybrid and probabilistic approaches, model optimisation and hyperparameter performance evaluation, use of sky imager, and forecasting for energy system integration.

This book is for researchers and advanced students involved with PV systems in industry and academia, as well as for data scientists involved with energy systems. It also serves advanced students in EE and photovoltaics and policymakers. It provides readers with a comprehensive understanding of how AI can be leveraged to forecast solar PV energy outputs more accurately.

Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W)
Suggested Age: 22 Years and Up
Number of Pages: 312
Genre: Technology
Sub-Genre: Power Resources
Series Title: Energy Engineering
Publisher: Institution of Engineering & Technology
Theme: Alternative & Renewable
Format: Hardcover
Author: Elham Shirazi & Wilfried Van Sark
Language: English
Street Date: February 1, 2026
TCIN: 1006443392
UPC: 9781837240197
Item Number (DPCI): 247-36-6274
Origin: Made in the USA or Imported
If the item details aren’t accurate or complete, we want to know about it.

Shipping details

Estimated ship dimensions: 1 inches length x 6.14 inches width x 9.21 inches height
Estimated ship weight: 1 pounds
We regret that this item cannot be shipped to PO Boxes.
This item cannot be shipped to the following locations: American Samoa (see also separate entry under AS), Guam (see also separate entry under GU), Northern Mariana Islands, Puerto Rico (see also separate entry under PR), United States Minor Outlying Islands, Virgin Islands, U.S., APO/FPO

Return details

This item can be returned to any Target store or Target.com.
This item must be returned within 90 days of the date it was purchased in store, shipped, delivered by a Shipt shopper, or made ready for pickup.
See the return policy for complete information.

Related Categories

Get top deals, latest trends, and more.

Privacy policy

Footer

About Us

About TargetCareersNews & BlogTarget BrandsBullseye ShopSustainability & GovernancePress CenterAdvertise with UsInvestorsAffiliates & PartnersSuppliersTargetPlus

Help

Target HelpReturnsTrack OrdersRecallsContact UsFeedbackAccessibilitySecurity & FraudTeam Member ServicesLegal & Privacy

Stores

Find a StoreClinicPharmacyTarget OpticalMore In-Store Services

Services

Target Circle™Target Circle™ CardTarget Circle 360™Target AppRegistrySame Day DeliveryOrder PickupDrive UpFree 2-Day ShippingShipping & DeliveryMore Services
PinterestFacebookInstagramXYoutubeTiktokTermsCA Supply ChainPrivacy PolicyCA Privacy RightsYour Privacy ChoicesInterest Based AdsHealth Privacy Policy